EvolveDTree_Simulation_to_Predicting_Students_2014.ipynb

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  "metadata": {
    "colab": {
      "name": "EvolveDTree - Simulation to Predicting Students 2014.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
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  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/gassantos/evolvedtree/blob/master/EvolveDTree_Simulation_to_Predicting_Students_2014.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "owB7VKL5upkd",
        "colab_type": "text"
      },
      "source": [
        "\n",
        "\n",
        "---\n",
        "\n",
        "\n",
        "\n",
        "---\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "dL9_kQ7auPMq",
        "colab_type": "text"
      },
      "source": [
        "# **EvolveDTree Experiment to the Dropout Students Prediction of the 2014 year**\n",
        "\n",
        "*   Without feature `CHCursado`\n",
        "*   **_One-Hot Encoding_** for feature `Curso, Raça, Turno e Ação Afirmativa`\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "uEgimpR5umEL",
        "colab_type": "text"
      },
      "source": [
        "\n",
        "\n",
        "---\n",
        "\n",
        "\n",
        "\n",
        "---\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "2YAuqZP7QEZz",
        "colab_type": "text"
      },
      "source": [
        "# **Objectives**:\n",
        "\n",
        "    * Ensure that don't exists `Data Leakage` in training and test sets**\n",
        "    * Identificar durante o pré-processamento\n",
        "    * Avaliar alternativas de identificação\n",
        "    * Aplicar One-Hot Encoding para os atributos: `Curso, Raça, Turno e Ação Afirmativa`\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ZBqbn7wyVQ1I",
        "colab_type": "text"
      },
      "source": [
        "================================================================================================================"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "k_WAu2RiVeK8",
        "colab_type": "text"
      },
      "source": [
        "# **Starting EvolveDTree Application**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "uuJL0zgKWMei",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 952
        },
        "outputId": "a218efda-e2fb-4341-e072-1e38f8c202b8"
      },
      "source": [
        "!pip install seaborn scikit-plot deap mpld3 scikit-plot PyDrive joblib yellowbrick networkx mlxtend bokeh xgboost lightgbm #eli5 shap xai interpret"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
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            "Collecting scikit-plot\n",
            "  Downloading https://files.pythonhosted.org/packages/7c/47/32520e259340c140a4ad27c1b97050dd3254fdc517b1d59974d47037510e/scikit_plot-0.3.7-py3-none-any.whl\n",
            "Collecting deap\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/0a/eb/2bd0a32e3ce757fb26264765abbaedd6d4d3640d90219a513aeabd08ee2b/deap-1.3.1-cp36-cp36m-manylinux2010_x86_64.whl (157kB)\n",
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            "Building wheels for collected packages: mpld3\n",
            "  Building wheel for mpld3 (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for mpld3: filename=mpld3-0.3-cp36-none-any.whl size=116679 sha256=e342314a4050955d6e97b7f7627c26e65cfcfa0864dc9e0317ce8b00acb0a921\n",
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            "Successfully installed deap-1.3.1 mpld3-0.3 scikit-plot-0.3.7\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "0KpEcMCYwr29"
      },
      "source": [
        "# Integrating to Google Drive"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "zAO4xUeHwEXa",
        "colab": {}
      },
      "source": [
        "# Code to read csv file into Colaboratory\n",
        "from pydrive.auth import GoogleAuth\n",
        "from pydrive.drive import GoogleDrive\n",
        "from google.colab import auth\n",
        "from oauth2client.client import GoogleCredentials\n",
        "\n",
        "# Authenticate and create the PyDrive client.\n",
        "auth.authenticate_user()\n",
        "gauth = GoogleAuth()\n",
        "gauth.credentials = GoogleCredentials.get_application_default()\n",
        "drive = GoogleDrive(gauth)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "xfFd7kcdw_u6",
        "colab": {}
      },
      "source": [
        "dataset = 'https://drive.google.com/open?id=1GpEfcRdW0HBiMGxKQy1rMfyPpH9xPa9w'\n",
        "_, id = dataset.split('=')\n",
        "\n",
        "downloaded = drive.CreateFile({'id':id}) \n",
        "downloaded.GetContentFile('DATASET_ALUNOS_FORMADOS-EVADIDOS_2012-2018_PTB.csv')\n",
        "\n",
        "# Create directory to Images\n",
        "!mkdir \"Graficos\"; mkdir \"Modelos\""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "lrp5rDB8TksG",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 72
        },
        "outputId": "6daeea28-d8d5-4494-ff14-6e8c63b1c5a3"
      },
      "source": [
        "from __future__ import (absolute_import, division, print_function, unicode_literals)\n",
        "from builtins import *\n",
        "\n",
        "import time, collections\n",
        "import itertools as itools\n",
        "import graphviz as gvz\n",
        "import pandas as pd\n",
        "import numpy as np\n",
        "import random as rdm\n",
        "import matplotlib.pylab as plb\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "import pydotplus as pydot\n",
        "import scikitplot as skplt\n",
        "import pickle as pkl\n",
        "import xgboost as xgb\n",
        "import networkx as nx\n",
        "#import xai, shap, eli5\n",
        "\n",
        "from bokeh.io import output_notebook\n",
        "#from interpret import show as IShow\n",
        "#from interpret.glassbox import ExplainableBoostingClassifier\n",
        "\n",
        "from sklearn import tree as T\n",
        "from sklearn.tree import DecisionTreeClassifier\n",
        "from sklearn.svm import SVC\n",
        "from sklearn.preprocessing import LabelEncoder, LabelBinarizer\n",
        "from sklearn.ensemble import AdaBoostClassifier, RandomForestClassifier\n",
        "from sklearn.cluster import KMeans\n",
        "from sklearn.neighbors import KNeighborsClassifier\n",
        "from sklearn.neural_network import MLPClassifier \n",
        "from sklearn.linear_model import LogisticRegression\n",
        "from sklearn.gaussian_process import GaussianProcessClassifier\n",
        "from sklearn.gaussian_process.kernels import RBF\n",
        "from sklearn.naive_bayes import GaussianNB\n",
        "from sklearn.discriminant_analysis import QuadraticDiscriminantAnalysis\n",
        "from sklearn.model_selection import train_test_split, StratifiedKFold as SKFold, GridSearchCV as gridSCV\n",
        "from sklearn.metrics import accuracy_score, matthews_corrcoef, confusion_matrix, classification_report \n",
        "from sklearn.metrics import roc_auc_score, roc_curve, auc, f1_score, cohen_kappa_score, precision_score\n",
        "from sklearn.feature_selection import RFECV\n",
        "\n",
        "from deap import creator, base, tools, algorithms\n",
        "from scipy import interpolate, stats\n",
        "from statsmodels.stats.multicomp import pairwise_tukeyhsd, MultiComparison\n",
        "from joblib import dump, load\n",
        "\n",
        "import itertools, graphviz, mpld3, requests, json, time, warnings\n",
        "warnings.simplefilter(action='ignore', category=FutureWarning)\n",
        "warnings.simplefilter(action='ignore', category=UserWarning)\n",
        "warnings.simplefilter(action='ignore', category=RuntimeWarning)\n",
        "warnings.simplefilter(action='ignore', category=DeprecationWarning)\n",
        "\n",
        "import platform, os\n",
        "if platform.system() == 'Windows' :\n",
        "    APP='C:/Program Files (x86)/Graphviz2.38/bin/'\n",
        "    os.environ[\"PATH\"] += os.pathsep + APP"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/statsmodels/tools/_testing.py:19: FutureWarning: pandas.util.testing is deprecated. Use the functions in the public API at pandas.testing instead.\n",
            "  import pandas.util.testing as tm\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "onQmgwEYTksS",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "outputId": "6e6fe67d-dd38-400c-e6a7-d5cf7659c0b5"
      },
      "source": [
        "# Settings to Matplotlib    \n",
        "%pylab inline\n",
        "pylab.rcParams['figure.figsize'] = (18, 8)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Populating the interactive namespace from numpy and matplotlib\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "VW_wRb_ETksX"
      },
      "source": [
        "---\n",
        "# **ZIPCODE of the UFF Localities**\n",
        "---\n",
        "* ZIPCODE - VALONGUINHO:             24020140\n",
        "* ZIPCODE - PRAIA VERMELHA:          24210200\n",
        "* ZIPCODE - BIOMEDICO:               24210130\n",
        "* ZIPCODE - MEDICINA:                24020071\n",
        "* ZIPCODE - IACS:                    24210510\n",
        "* ZIPCODE - REITORIA:                24220900\n",
        "* ZIPCODE - ENGQUIMICA:              24210346\n",
        "* ZIPCODE - VOLTA-REDONDA:           27213145\n",
        "* ZIPCODE - MACAÉ:                   27930560\n",
        "* ZIPCODE - RIO DAS OSTRAS:          28890000\n",
        "* ZIPCODE - PETROPOLIS:              25650050\n",
        "* ZIPCODE - SANTO ANTONIO DE PADUA:  28470000\n",
        "* ZIPCODE - CAMPOS DOS GOYTACAZES:   28010385\n",
        "* ZIPCODE - ANGRA DOS REIS:          23914360\n",
        "* ZIPCODE - MIRACEMA:                28470000\n",
        "* ZIPCODE - NOVA FRIBURGO:           28625650\n",
        "* ZIPCODE - PETRÓPOLIS:              25650050\n",
        "* ZIPCODE - ORIXIMINÁ:               68270000\n",
        "---\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "OBJNFC6aTksY"
      },
      "source": [
        "# Functions"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "Vbov0mXXTksZ"
      },
      "source": [
        "### a) Distance Calculation to College"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "GvN_LJWhTksa",
        "colab": {}
      },
      "source": [
        "def calculaDistancia(cepOrigem, cepDestino):\n",
        "    \n",
        "    KEY ='key=AIzaSyAJqU9516xSUEDnojnedeB3AbfXCPnxrCw'\n",
        "    GOOGLEAPI = 'https://maps.googleapis.com/maps/api/distancematrix/json?'+KEY+'&origins='\n",
        "    \n",
        "    getOrigem  = 'https://viacep.com.br/ws/'+cepOrigem+'/json/'\n",
        "    getDestino = 'https://viacep.com.br/ws/'+cepDestino+'/json/'\n",
        "    \n",
        "    origem  = json.loads(requests.get(getOrigem).text)\n",
        "    destino = json.loads(requests.get(getDestino).text)\n",
        "    \n",
        "    strOrigem = origem['localidade']+' '+origem['uf'].replace(' ', '+')  \n",
        "    strDestino = destino['localidade']+' '+destino['uf'].replace(' ', '+')\n",
        "    \n",
        "    return requests.get(GOOGLEAPI+strOrigem+'&destinations='+strDestino+'&mode=bicycling')                                                                        "
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "eN0wnoT9Tksc"
      },
      "source": [
        "### a) Plotting Confusion Matrix"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "8He6ffgyTksd",
        "colab": {}
      },
      "source": [
        "def plotConfusionMatrix(matrix, target_names, title=\"\\nMatriz de Confusão\\n\", cmap=None, accuracy=None, normalize=True):\n",
        "    \n",
        "    if cmap is None:\n",
        "        cmap = plb.get_cmap('Blues')\n",
        "\n",
        "    #plb.figure(figsize=(18,8))\n",
        "    plb.imshow(matrix, interpolation='nearest', cmap=cmap)\n",
        "    #plb.title(title)\n",
        "    plb.colorbar()\n",
        "\n",
        "    if target_names is not None:\n",
        "        marks = np.arange(len(target_names))\n",
        "        plb.xticks(marks, target_names) #, rotation=30)\n",
        "        plb.yticks(marks, target_names)\n",
        "\n",
        "    if normalize:\n",
        "        matrix = matrix.astype('float') / matrix.sum(axis=1)[:, np.newaxis]\n",
        "\n",
        "\n",
        "    thresh = matrix.max() / 1.5 if normalize else matrix.max()\n",
        "    for i, j in itools.product(range(matrix.shape[0]), range(matrix.shape[1])):\n",
        "        if normalize:\n",
        "            plb.text(j, i, \"{:0.2}\".format(matrix[i, j]),\n",
        "                     horizontalalignment=\"center\",\n",
        "                     color=\"red\" if matrix[i, j] <= thresh else \"red\")\n",
        "        else:\n",
        "            plb.text(j, i, \"{:,}\".format(matrix[i, j]),\n",
        "                     horizontalalignment=\"center\",\n",
        "                     color=\"red\" if matrix[i, j] > thresh else \"red\")\n",
        "\n",
        "    if accuracy is None:\n",
        "        accuracy = np.trace(matrix) / float(np.sum(matrix))\n",
        "    \n",
        "    misclass = 1 - accuracy\n",
        "    \n",
        "    plb.figure(1)\n",
        "    plb.tight_layout()\n",
        "    plb.xlabel('accuracy={:0.6f}; misclass={:0.6f}'.format(accuracy, misclass))\n",
        "    \n",
        "    if normalize is True:\n",
        "        plb.savefig('Graficos/matrizconf-norm.pdf')\n",
        "    else:\n",
        "        plb.savefig('Graficos/matrizconf.pdf')\n",
        "    plb.show()"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "9TFZKuIHTksf"
      },
      "source": [
        "### b) Feature subset fitness function with Machine Learning Techniques"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "nbzkIGTQTksg",
        "colab": {}
      },
      "source": [
        "def getFitnessMLT(individual, X_train, X_test, y_train, y_test):\n",
        "\n",
        "    # Extracting feature columns that we do not use and apply category mapping to the features\n",
        "    notFeatures = [idx for idx in range(len(individual)) if individual[idx] == 0]\n",
        "    X_treinoNotFeatures = X_train.drop(X_train.columns[notFeatures], axis=1)\n",
        "    X_treinoFeatures = pd.get_dummies(X_treinoNotFeatures)\n",
        "    X_testeNotFeatures = X_test.drop(X_test.columns[notFeatures], axis=1)\n",
        "    X_testeFeatures = pd.get_dummies(X_testeNotFeatures)\n",
        "\n",
        "    # Remove any columns that not are in both the training and test sets\n",
        "    comumFeatures = set(X_treinoFeatures.columns) & set(X_testeFeatures.columns)\n",
        "    treinoFeatures = set(X_treinoFeatures.columns) - comumFeatures\n",
        "    X_treinoFeatures = X_treinoFeatures.drop(list(treinoFeatures), axis=1)\n",
        "    testeFeatures = set(X_testeFeatures.columns) - comumFeatures\n",
        "    X_testeFeatures = X_testeFeatures.drop(list(testeFeatures), axis=1)\n",
        "\n",
        "    # Apply Decision Tree on the data, and calculate accuracy\n",
        "    clf = T.DecisionTreeClassifier()\n",
        "    clf.fit(X_treinoFeatures, y_train)\n",
        "    predictions = clf.predict(X_testeFeatures)\n",
        "    performance = f1_score(y_test, predictions)\n",
        "    \n",
        "    # Return calculated accuracy as fitness\n",
        "    return (performance, )"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "sYwikOp3Tksi"
      },
      "source": [
        "### c) Obtaining the Best Individuals  to Genetic Algorithm"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "OjQ1UgEITksi",
        "colab": {}
      },
      "source": [
        "def getHof():\n",
        "\n",
        "    # Initialize population\n",
        "    numPop = 100\n",
        "    numGen = 10\n",
        "    pop = toolbox.population(n=numPop)\n",
        "    hof = tools.HallOfFame(numPop * numGen)\n",
        "    stats = tools.Statistics(lambda ind: ind.fitness.values)\n",
        "    stats.register(\"avg\", np.mean)\n",
        "    stats.register(\"std\", np.std)\n",
        "    stats.register(\"min\", np.min)\n",
        "    stats.register(\"max\", np.max)\n",
        "\n",
        "    # Launch genetic algorithm\n",
        "    pop, log = algorithms.eaSimple(pop, toolbox, cxpb=0.5, mutpb=0.2, ngen=numGen, stats=stats, halloffame=hof, verbose=True)\n",
        "\n",
        "    # Return the hall of fame\n",
        "    return hof, pop, log"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "02AW3Z3QTksk"
      },
      "source": [
        "### c) Get list of percentiles in the hall of fame"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "uXnLdFaOTksk",
        "colab": {}
      },
      "source": [
        "def percentHof(hof):\n",
        "    percentileList = [i / (len(hof) - 1) for i in range(len(hof))]\n",
        "    return percentileList"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "XWMBJnmaTksm"
      },
      "source": [
        "### d) Get Accuracies List of the HOF (hall of fame)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "42cq7xaiTksm",
        "colab": {}
      },
      "source": [
        "def getMetrics(hof):\n",
        "    \n",
        "    # Gather fitness data from each percentile\n",
        "    testAccuracyList = []\n",
        "    validationAccuracyList = []\n",
        "    individualList = []\n",
        "    \n",
        "    for individual in hof:\n",
        "        testAccuracy = individual.fitness.values\n",
        "        validationAccuracy = getFitnessMLT(individual, X_treino, X_teste, y_treino, y_teste)\n",
        "        testAccuracyList.append(testAccuracy[0])\n",
        "        validationAccuracyList.append(validationAccuracy[0])\n",
        "        individualList.append(individual)\n",
        "    \n",
        "    testAccuracyList.reverse()\n",
        "    validationAccuracyList.reverse()\n",
        "    individualList.reverse()\n",
        "    \n",
        "    return testAccuracyList, validationAccuracyList, individualList"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "rCja8rkgTkso"
      },
      "source": [
        "### e) Function List Best Performance "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "PbhsLJZoTkso",
        "colab": {}
      },
      "source": [
        "def listBestPerformance(validAccList):\n",
        "    \n",
        "    maxValAccIndices = [] \n",
        "    maxValIndividuos = []\n",
        "    maxBetterSubset = []\n",
        "    maxWorseSubset = []\n",
        "    \n",
        "    for idx in range(len(validAccList)): \n",
        "        if validAccList[idx] == max(validAccList):\n",
        "            maxValAccIndices = [idx]\n",
        "            \n",
        "    for idx in maxValAccIndices:\n",
        "        maxValIndividuos = [individualList[idx]]\n",
        "        \n",
        "    for individual in maxValIndividuos:\n",
        "        for index in range(len(individual)): \n",
        "            if individual[index] == 1:\n",
        "                maxBetterSubset += [list(allFeatures)[index]]\n",
        "            else: \n",
        "                maxWorseSubset += [list(allFeatures)[index]]\n",
        "    \n",
        "    return maxValAccIndices, maxValIndividuos, maxBetterSubset, maxWorseSubset"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "2TmajbaKTksq"
      },
      "source": [
        "### f) Function Optimal Feature Subset"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "L6sOx3QsTksq",
        "colab": {}
      },
      "source": [
        "def getWorseFeatures(validAccList):\n",
        "    \n",
        "    # Obtaining list of best performance individuals\n",
        "    maxValAccIndices, maxValIndividuos, maxBetterSubset, maxWorseSubset = listBestPerformance(validAccList)\n",
        "\n",
        "    bestIndividualList = []\n",
        "    maxValidAccFS = None\n",
        "    \n",
        "    for idx in range(len(maxValAccIndices)): \n",
        "        maxValidAccFS = validAccList[maxValAccIndices[idx]]\n",
        "        bestIndividualList = maxValIndividuos[idx]\n",
        "    \n",
        "    print('\\nValidation Accuracy with AF: \\t\\t' +str(validAccList[0]))\n",
        "    print('Validation Accuracy with FS: \\t\\t' +str(maxValidAccFS))\n",
        "    print('Best Individual: \\t\\t\\t' +str(bestIndividualList))\n",
        "    print('Number of Selected Features: \\t\\t' +str(len(maxBetterSubset)))\n",
        "    print('Number of Not Selected Features: \\t' +str(len(maxWorseSubset))+'\\n')\n",
        "    print('Set of Selected Features:\\n' +str(maxBetterSubset)+'\\n')\n",
        "    print('Set of UnSelected Features:\\n' +str(maxWorseSubset)+'\\n')\n",
        "    \n",
        "    return maxWorseSubset"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "dmHdfy8bTkss"
      },
      "source": [
        "### g) Function Ranking of Best Individuals"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "5CmUdeQSTkst",
        "colab": {}
      },
      "source": [
        "def getBestRanking(testAccList, validAccList, individualList):\n",
        "    \n",
        "    # Gather fitness data from each percentile\n",
        "    testAccuracyRanking = []\n",
        "    validationAccuracyRanking = []\n",
        "    bestIndividualRanking = []\n",
        "    \n",
        "    # Variables for Accuracy List\n",
        "    it = 0\n",
        "    LIMIT = len(validAccList)\n",
        "    \n",
        "    # Iterations for Ranking of the Best Individuals\n",
        "    for individual in individualList:\n",
        "        testAccuracy = individual.fitness.values\n",
        "        \n",
        "        if it < LIMIT :\n",
        "            if validAccList[it] >= 0.85 :\n",
        "                testAccuracyRanking.append(testAccuracy[0])\n",
        "                validationAccuracyRanking.append(validAccList[it])\n",
        "                bestIndividualRanking.append(individual)\n",
        "        else:\n",
        "            break\n",
        "        \n",
        "        it=it+1\n",
        "    \n",
        "    return bestIndividualRanking, validationAccuracyRanking, testAccuracyRanking"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "ZM4zkZ_9Tksu"
      },
      "source": [
        "### h) Function Optimal Number Features through sklearn.RFECV"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "an2Rl0XSTksv",
        "colab": {}
      },
      "source": [
        "def getOptimalNumberFeatures(X, y):\n",
        "    \n",
        "    for c in X.columns:\n",
        "        if X[c].dtype == 'object':\n",
        "            lbl = LabelEncoder()\n",
        "            lbl.fit(list(X[c].values))\n",
        "            X[c] = lbl.transform(list(X[c].values))\n",
        "    \n",
        "    # The accuracy scoring is proportional to the number of correct classifications\n",
        "    rfecv = RFECV(estimator=DecisionTreeClassifier(), step=1, cv=SKFold(5), scoring='f1')\n",
        "    rfecv.fit(X, y)\n",
        "\n",
        "    print(\"Optimal number of features : %d\" % rfecv.n_features_)\n",
        "\n",
        "    # Plot number of features VS. cross-validation scores\n",
        "    plb.figure()\n",
        "    plb.xlabel(\"Number of features selected\", fontweight=\"bold\")\n",
        "    plb.ylabel(\"Cross validation score\")\n",
        "    plb.plot(range(1, len(rfecv.grid_scores_) + 1), rfecv.grid_scores_)\n",
        "    plb.savefig('Graficos/rfecvnum-otimo-features.pdf')\n",
        "    plb.show()\n",
        "    \n",
        "    return  rfecv.n_features_,"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "xziM1ACaaZ--",
        "colab_type": "text"
      },
      "source": [
        "### i) Function that verifying if the list contains in another"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "pzgVl-3NaYxO",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def checkIfValuesExists1(listOfValues1, listOfValues2):\n",
        "    ''' Check if given elements exists in dictionary or not.\n",
        "        It returns a dictionary of elements as key and thier existence value as bool'''\n",
        "    resultDict = {}\n",
        "    # Iterate over the list of elements one by one\n",
        "    for elem in listOfValues:\n",
        "        # Check if the element exists in dataframe values\n",
        "        if elem in dfObj.values:\n",
        "            resultDict[elem] = True\n",
        "        else:\n",
        "            resultDict[elem] = False\n",
        "    # Returns a dictionary of values & thier existence flag        \n",
        "    return resultDict"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "sw9kBON_VijK",
        "colab_type": "text"
      },
      "source": [
        "### j) Plotting Graph between features relationship"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "E1x_Kp0MVjpL",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def plotCorrGraph(df):\n",
        "    # Calculate the correlation between individuals. We have to transpose first, because the corr function calculate the pairwise correlations between columns.\n",
        "    corr = df.corr().abs()\n",
        "\n",
        "    # Transform it in a links data frame (3 columns only):\n",
        "    links = corr.stack().reset_index()\n",
        "    links.columns = ['var1', 'var2','value']\n",
        "\n",
        "    # Keep only correlation over a threshold and remove self correlation (cor(A,A)=1)\n",
        "    links_filtered=links.loc[(links['var1'] != links['var2'])]\n",
        "\n",
        "    temp = []\n",
        "    checkvalues= []\n",
        "    for row in links_filtered.values:\n",
        "        if row[2]>.2 and row[2] not in checkvalues:\n",
        "            temp.append(row)\n",
        "            checkvalues.append(row[2])\n",
        "        \n",
        "    links_filtered = pd.DataFrame(temp, columns=['var1', 'var2','value'])\n",
        "\n",
        "    # Build your graph\n",
        "    G=nx.from_pandas_edgelist(links_filtered, 'var1', 'var2', )\n",
        "\n",
        "    # Plot the network:\n",
        "    nx.draw(G, with_labels=True, font_size=20, alpha=.75, node_color='#A0CBE2',edge_color=links_filtered.value.values, width=6, edge_cmap=plt.cm.Blues)\n",
        "    #   plt.figure(figsize=(12,8))\n",
        "    plt.show()"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "BLiKYMOWTksw"
      },
      "source": [
        "# **Importing Students Dataset**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1A6P6FsdblGG",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "outputId": "0fbe493c-18ae-4576-be25-c72f6d1318ce"
      },
      "source": [
        "starTime = time.time()\n",
        "data = pd.read_csv('DATASET_ALUNOS_FORMADOS-EVADIDOS_2012-2018_PTB.csv', sep=';')\n",
        "data.shape"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(281673, 32)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 18
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "Gt1WVuG5Tksz",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 176
        },
        "outputId": "80a6a085-58f4-4a0b-8f5a-17d9b3d3c433"
      },
      "source": [
        "data.columns"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['MATRICULA', 'ACAOAFIRMATIVA', 'ENEMLINGUAGEM', 'ENEMHUMANAS',\n",
              "       'ENEMNATURAIS', 'ENEMMATEMATICA', 'ENEMREDACAO', 'CURSO',\n",
              "       'CODTURNOINGRESSO', 'CODTURNOATUAL', 'TURNOATUAL', 'CR', 'DISCIPLINA',\n",
              "       'NOTADISC', 'RESULTDISC', 'PERIODODISC', 'ANOINGRESSO',\n",
              "       'SEMESTREINGRESSO', 'ANODESVINCULACAO', 'SEMESTREDESVINCULACAO',\n",
              "       'IDADE', 'COR', 'BAIRRO', 'CEP', 'CIDADE', 'MOBILIDADE', 'CHCURSADA',\n",
              "       'ESTADOCIVIL', 'TRANCAMENTOS', 'TEMPOPERMANENCIA', 'SEXO',\n",
              "       'STATUSFORMACAO'],\n",
              "      dtype='object')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 19
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "OO3QYJYuTks1",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "outputId": "f177fdd5-035d-4bca-e851-4b8ae1ad1d9f"
      },
      "source": [
        "# 23 - Admininstração; 7 - Direito; 42 - Eng. Produção; 31 - Ciências da Computação;\n",
        "\n",
        "flagCurso = False\n",
        "if flagCurso :\n",
        "    dataCurso = data.query('CURSO == 23 & ANOINGRESSO <= 2014') #\n",
        "    print(dataCurso.shape)\n",
        "    dataCurso.head()\n",
        "\n",
        "else :\n",
        "    dataCurso = data.copy()\n",
        "    print(dataCurso.shape)\n",
        "    dataCurso.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "(281673, 32)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "ACcQ1CttTks3"
      },
      "source": [
        "# 1) Descriptive Statistics"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "ChJG3-QKTks3",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 330
        },
        "outputId": "90f30af7-da91-42ad-b6dd-1b5a217276e3"
      },
      "source": [
        "### Dropping some features\n",
        "dataCurso = dataCurso.drop(columns=['MATRICULA', 'CHCURSADA', 'PERIODODISC', 'DISCIPLINA', 'NOTADISC', 'RESULTDISC'])\n",
        "dataCurso.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>ACAOAFIRMATIVA</th>\n",
              "      <th>ENEMLINGUAGEM</th>\n",
              "      <th>ENEMHUMANAS</th>\n",
              "      <th>ENEMNATURAIS</th>\n",
              "      <th>ENEMMATEMATICA</th>\n",
              "      <th>ENEMREDACAO</th>\n",
              "      <th>CURSO</th>\n",
              "      <th>CODTURNOINGRESSO</th>\n",
              "      <th>CODTURNOATUAL</th>\n",
              "      <th>TURNOATUAL</th>\n",
              "      <th>CR</th>\n",
              "      <th>ANOINGRESSO</th>\n",
              "      <th>SEMESTREINGRESSO</th>\n",
              "      <th>ANODESVINCULACAO</th>\n",
              "      <th>SEMESTREDESVINCULACAO</th>\n",
              "      <th>IDADE</th>\n",
              "      <th>COR</th>\n",
              "      <th>BAIRRO</th>\n",
              "      <th>CEP</th>\n",
              "      <th>CIDADE</th>\n",
              "      <th>MOBILIDADE</th>\n",
              "      <th>ESTADOCIVIL</th>\n",
              "      <th>TRANCAMENTOS</th>\n",
              "      <th>TEMPOPERMANENCIA</th>\n",
              "      <th>SEXO</th>\n",
              "      <th>STATUSFORMACAO</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>AC</td>\n",
              "      <td>605.8</td>\n",
              "      <td>743.4</td>\n",
              "      <td>706.6</td>\n",
              "      <td>840.1</td>\n",
              "      <td>960.0</td>\n",
              "      <td>41</td>\n",
              "      <td>8</td>\n",
              "      <td>8</td>\n",
              "      <td>INTEGRAL</td>\n",
              "      <td>8.00</td>\n",
              "      <td>2013</td>\n",
              "      <td>1</td>\n",
              "      <td>2018</td>\n",
              "      <td>1</td>\n",
              "      <td>24</td>\n",
              "      <td>NÃO DECLARADO</td>\n",
              "      <td>JARDIM ICARAÍ</td>\n",
              "      <td>24220330</td>\n",
              "      <td>NITERÓI</td>\n",
              "      <td>0</td>\n",
              "      <td>SOLTEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>6</td>\n",
              "      <td>M</td>\n",
              "      <td>FORMADO</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>AC</td>\n",
              "      <td>616.4</td>\n",
              "      <td>602.8</td>\n",
              "      <td>646.4</td>\n",
              "      <td>696.5</td>\n",
              "      <td>840.0</td>\n",
              "      <td>243</td>\n",
              "      <td>8</td>\n",
              "      <td>8</td>\n",
              "      <td>INTEGRAL</td>\n",
              "      <td>7.30</td>\n",
              "      <td>2014</td>\n",
              "      <td>1</td>\n",
              "      <td>2018</td>\n",
              "      <td>1</td>\n",
              "      <td>22</td>\n",
              "      <td>NÃO DECLARADO</td>\n",
              "      <td>VILA JACI</td>\n",
              "      <td>12211370</td>\n",
              "      <td>SÃO JOSÉ DOS CAMPOS</td>\n",
              "      <td>0</td>\n",
              "      <td>SOLTEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>5</td>\n",
              "      <td>M</td>\n",
              "      <td>FORMADO</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>AC</td>\n",
              "      <td>636.2</td>\n",
              "      <td>654.1</td>\n",
              "      <td>617.2</td>\n",
              "      <td>760.0</td>\n",
              "      <td>720.0</td>\n",
              "      <td>244</td>\n",
              "      <td>8</td>\n",
              "      <td>8</td>\n",
              "      <td>INTEGRAL</td>\n",
              "      <td>8.80</td>\n",
              "      <td>2013</td>\n",
              "      <td>1</td>\n",
              "      <td>2017</td>\n",
              "      <td>2</td>\n",
              "      <td>24</td>\n",
              "      <td>BRANCA</td>\n",
              "      <td>BELA VISTA</td>\n",
              "      <td>28623</td>\n",
              "      <td>NOVA FRIBURGO</td>\n",
              "      <td>0</td>\n",
              "      <td>SOLTEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>5</td>\n",
              "      <td>F</td>\n",
              "      <td>FORMADO</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>A1</td>\n",
              "      <td>559.1</td>\n",
              "      <td>568.1</td>\n",
              "      <td>522.0</td>\n",
              "      <td>587.7</td>\n",
              "      <td>700.0</td>\n",
              "      <td>3</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>NOTURNO</td>\n",
              "      <td>7.20</td>\n",
              "      <td>2013</td>\n",
              "      <td>2</td>\n",
              "      <td>2018</td>\n",
              "      <td>1</td>\n",
              "      <td>24</td>\n",
              "      <td>NÃO DECLARADO</td>\n",
              "      <td>CAXITO</td>\n",
              "      <td>21545160</td>\n",
              "      <td>RIO DE JANEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>SOLTEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>6</td>\n",
              "      <td>F</td>\n",
              "      <td>FORMADO</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>AC</td>\n",
              "      <td>545.4</td>\n",
              "      <td>560.9</td>\n",
              "      <td>508.2</td>\n",
              "      <td>528.0</td>\n",
              "      <td>600.0</td>\n",
              "      <td>62</td>\n",
              "      <td>8</td>\n",
              "      <td>8</td>\n",
              "      <td>INTEGRAL</td>\n",
              "      <td>7.06</td>\n",
              "      <td>2014</td>\n",
              "      <td>2</td>\n",
              "      <td>2015</td>\n",
              "      <td>1</td>\n",
              "      <td>24</td>\n",
              "      <td>NÃO DECLARADO</td>\n",
              "      <td>BARRO VERMELHO</td>\n",
              "      <td>24412330</td>\n",
              "      <td>SÃO GONÇALO</td>\n",
              "      <td>0</td>\n",
              "      <td>SOLTEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>F</td>\n",
              "      <td>EVADIDO</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "  ACAOAFIRMATIVA  ENEMLINGUAGEM  ...  SEXO  STATUSFORMACAO\n",
              "0             AC          605.8  ...     M         FORMADO\n",
              "1             AC          616.4  ...     M         FORMADO\n",
              "2             AC          636.2  ...     F         FORMADO\n",
              "3             A1          559.1  ...     F         FORMADO\n",
              "4             AC          545.4  ...     F         EVADIDO\n",
              "\n",
              "[5 rows x 26 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 21
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "TH2kmJAxTks5",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 141
        },
        "outputId": "81082475-6ac5-464e-83a5-21e6e179c873"
      },
      "source": [
        "dataCurso.columns"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['ACAOAFIRMATIVA', 'ENEMLINGUAGEM', 'ENEMHUMANAS', 'ENEMNATURAIS',\n",
              "       'ENEMMATEMATICA', 'ENEMREDACAO', 'CURSO', 'CODTURNOINGRESSO',\n",
              "       'CODTURNOATUAL', 'TURNOATUAL', 'CR', 'ANOINGRESSO', 'SEMESTREINGRESSO',\n",
              "       'ANODESVINCULACAO', 'SEMESTREDESVINCULACAO', 'IDADE', 'COR', 'BAIRRO',\n",
              "       'CEP', 'CIDADE', 'MOBILIDADE', 'ESTADOCIVIL', 'TRANCAMENTOS',\n",
              "       'TEMPOPERMANENCIA', 'SEXO', 'STATUSFORMACAO'],\n",
              "      dtype='object')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 22
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "LxrhcbgQTks7"
      },
      "source": [
        "# Removing duplicates instances"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "m64V08bJTks8",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 348
        },
        "outputId": "081895c4-51c2-4525-fbb3-8deb0f45f90e"
      },
      "source": [
        "### Remove duplicates\n",
        "dataCurso = dataCurso.drop_duplicates(keep='first')\n",
        "print(dataCurso.shape)\n",
        "dataCurso.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "(12969, 26)\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>ACAOAFIRMATIVA</th>\n",
              "      <th>ENEMLINGUAGEM</th>\n",
              "      <th>ENEMHUMANAS</th>\n",
              "      <th>ENEMNATURAIS</th>\n",
              "      <th>ENEMMATEMATICA</th>\n",
              "      <th>ENEMREDACAO</th>\n",
              "      <th>CURSO</th>\n",
              "      <th>CODTURNOINGRESSO</th>\n",
              "      <th>CODTURNOATUAL</th>\n",
              "      <th>TURNOATUAL</th>\n",
              "      <th>CR</th>\n",
              "      <th>ANOINGRESSO</th>\n",
              "      <th>SEMESTREINGRESSO</th>\n",
              "      <th>ANODESVINCULACAO</th>\n",
              "      <th>SEMESTREDESVINCULACAO</th>\n",
              "      <th>IDADE</th>\n",
              "      <th>COR</th>\n",
              "      <th>BAIRRO</th>\n",
              "      <th>CEP</th>\n",
              "      <th>CIDADE</th>\n",
              "      <th>MOBILIDADE</th>\n",
              "      <th>ESTADOCIVIL</th>\n",
              "      <th>TRANCAMENTOS</th>\n",
              "      <th>TEMPOPERMANENCIA</th>\n",
              "      <th>SEXO</th>\n",
              "      <th>STATUSFORMACAO</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>AC</td>\n",
              "      <td>605.8</td>\n",
              "      <td>743.4</td>\n",
              "      <td>706.6</td>\n",
              "      <td>840.1</td>\n",
              "      <td>960.0</td>\n",
              "      <td>41</td>\n",
              "      <td>8</td>\n",
              "      <td>8</td>\n",
              "      <td>INTEGRAL</td>\n",
              "      <td>8.00</td>\n",
              "      <td>2013</td>\n",
              "      <td>1</td>\n",
              "      <td>2018</td>\n",
              "      <td>1</td>\n",
              "      <td>24</td>\n",
              "      <td>NÃO DECLARADO</td>\n",
              "      <td>JARDIM ICARAÍ</td>\n",
              "      <td>24220330</td>\n",
              "      <td>NITERÓI</td>\n",
              "      <td>0</td>\n",
              "      <td>SOLTEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>6</td>\n",
              "      <td>M</td>\n",
              "      <td>FORMADO</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>AC</td>\n",
              "      <td>616.4</td>\n",
              "      <td>602.8</td>\n",
              "      <td>646.4</td>\n",
              "      <td>696.5</td>\n",
              "      <td>840.0</td>\n",
              "      <td>243</td>\n",
              "      <td>8</td>\n",
              "      <td>8</td>\n",
              "      <td>INTEGRAL</td>\n",
              "      <td>7.30</td>\n",
              "      <td>2014</td>\n",
              "      <td>1</td>\n",
              "      <td>2018</td>\n",
              "      <td>1</td>\n",
              "      <td>22</td>\n",
              "      <td>NÃO DECLARADO</td>\n",
              "      <td>VILA JACI</td>\n",
              "      <td>12211370</td>\n",
              "      <td>SÃO JOSÉ DOS CAMPOS</td>\n",
              "      <td>0</td>\n",
              "      <td>SOLTEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>5</td>\n",
              "      <td>M</td>\n",
              "      <td>FORMADO</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>AC</td>\n",
              "      <td>636.2</td>\n",
              "      <td>654.1</td>\n",
              "      <td>617.2</td>\n",
              "      <td>760.0</td>\n",
              "      <td>720.0</td>\n",
              "      <td>244</td>\n",
              "      <td>8</td>\n",
              "      <td>8</td>\n",
              "      <td>INTEGRAL</td>\n",
              "      <td>8.80</td>\n",
              "      <td>2013</td>\n",
              "      <td>1</td>\n",
              "      <td>2017</td>\n",
              "      <td>2</td>\n",
              "      <td>24</td>\n",
              "      <td>BRANCA</td>\n",
              "      <td>BELA VISTA</td>\n",
              "      <td>28623</td>\n",
              "      <td>NOVA FRIBURGO</td>\n",
              "      <td>0</td>\n",
              "      <td>SOLTEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>5</td>\n",
              "      <td>F</td>\n",
              "      <td>FORMADO</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>A1</td>\n",
              "      <td>559.1</td>\n",
              "      <td>568.1</td>\n",
              "      <td>522.0</td>\n",
              "      <td>587.7</td>\n",
              "      <td>700.0</td>\n",
              "      <td>3</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>NOTURNO</td>\n",
              "      <td>7.20</td>\n",
              "      <td>2013</td>\n",
              "      <td>2</td>\n",
              "      <td>2018</td>\n",
              "      <td>1</td>\n",
              "      <td>24</td>\n",
              "      <td>NÃO DECLARADO</td>\n",
              "      <td>CAXITO</td>\n",
              "      <td>21545160</td>\n",
              "      <td>RIO DE JANEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>SOLTEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>6</td>\n",
              "      <td>F</td>\n",
              "      <td>FORMADO</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>AC</td>\n",
              "      <td>545.4</td>\n",
              "      <td>560.9</td>\n",
              "      <td>508.2</td>\n",
              "      <td>528.0</td>\n",
              "      <td>600.0</td>\n",
              "      <td>62</td>\n",
              "      <td>8</td>\n",
              "      <td>8</td>\n",
              "      <td>INTEGRAL</td>\n",
              "      <td>7.06</td>\n",
              "      <td>2014</td>\n",
              "      <td>2</td>\n",
              "      <td>2015</td>\n",
              "      <td>1</td>\n",
              "      <td>24</td>\n",
              "      <td>NÃO DECLARADO</td>\n",
              "      <td>BARRO VERMELHO</td>\n",
              "      <td>24412330</td>\n",
              "      <td>SÃO GONÇALO</td>\n",
              "      <td>0</td>\n",
              "      <td>SOLTEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>F</td>\n",
              "      <td>EVADIDO</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "  ACAOAFIRMATIVA  ENEMLINGUAGEM  ...  SEXO  STATUSFORMACAO\n",
              "0             AC          605.8  ...     M         FORMADO\n",
              "1             AC          616.4  ...     M         FORMADO\n",
              "2             AC          636.2  ...     F         FORMADO\n",
              "3             A1          559.1  ...     F         FORMADO\n",
              "4             AC          545.4  ...     F         EVADIDO\n",
              "\n",
              "[5 rows x 26 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 23
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ApUwlluYHgBJ",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 330
        },
        "outputId": "f6ce0497-579c-4ba4-e2dd-1a354900f3f6"
      },
      "source": [
        "dataUnique = dataCurso.copy()\n",
        "dataUnique.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>ACAOAFIRMATIVA</th>\n",
              "      <th>ENEMLINGUAGEM</th>\n",
              "      <th>ENEMHUMANAS</th>\n",
              "      <th>ENEMNATURAIS</th>\n",
              "      <th>ENEMMATEMATICA</th>\n",
              "      <th>ENEMREDACAO</th>\n",
              "      <th>CURSO</th>\n",
              "      <th>CODTURNOINGRESSO</th>\n",
              "      <th>CODTURNOATUAL</th>\n",
              "      <th>TURNOATUAL</th>\n",
              "      <th>CR</th>\n",
              "      <th>ANOINGRESSO</th>\n",
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              "      <th>ANODESVINCULACAO</th>\n",
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              "      <th>IDADE</th>\n",
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              "      <th>CEP</th>\n",
              "      <th>CIDADE</th>\n",
              "      <th>MOBILIDADE</th>\n",
              "      <th>ESTADOCIVIL</th>\n",
              "      <th>TRANCAMENTOS</th>\n",
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              "      <th>STATUSFORMACAO</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>AC</td>\n",
              "      <td>605.8</td>\n",
              "      <td>743.4</td>\n",
              "      <td>706.6</td>\n",
              "      <td>840.1</td>\n",
              "      <td>960.0</td>\n",
              "      <td>41</td>\n",
              "      <td>8</td>\n",
              "      <td>8</td>\n",
              "      <td>INTEGRAL</td>\n",
              "      <td>8.00</td>\n",
              "      <td>2013</td>\n",
              "      <td>1</td>\n",
              "      <td>2018</td>\n",
              "      <td>1</td>\n",
              "      <td>24</td>\n",
              "      <td>NÃO DECLARADO</td>\n",
              "      <td>JARDIM ICARAÍ</td>\n",
              "      <td>24220330</td>\n",
              "      <td>NITERÓI</td>\n",
              "      <td>0</td>\n",
              "      <td>SOLTEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>6</td>\n",
              "      <td>M</td>\n",
              "      <td>FORMADO</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>AC</td>\n",
              "      <td>616.4</td>\n",
              "      <td>602.8</td>\n",
              "      <td>646.4</td>\n",
              "      <td>696.5</td>\n",
              "      <td>840.0</td>\n",
              "      <td>243</td>\n",
              "      <td>8</td>\n",
              "      <td>8</td>\n",
              "      <td>INTEGRAL</td>\n",
              "      <td>7.30</td>\n",
              "      <td>2014</td>\n",
              "      <td>1</td>\n",
              "      <td>2018</td>\n",
              "      <td>1</td>\n",
              "      <td>22</td>\n",
              "      <td>NÃO DECLARADO</td>\n",
              "      <td>VILA JACI</td>\n",
              "      <td>12211370</td>\n",
              "      <td>SÃO JOSÉ DOS CAMPOS</td>\n",
              "      <td>0</td>\n",
              "      <td>SOLTEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>5</td>\n",
              "      <td>M</td>\n",
              "      <td>FORMADO</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>AC</td>\n",
              "      <td>636.2</td>\n",
              "      <td>654.1</td>\n",
              "      <td>617.2</td>\n",
              "      <td>760.0</td>\n",
              "      <td>720.0</td>\n",
              "      <td>244</td>\n",
              "      <td>8</td>\n",
              "      <td>8</td>\n",
              "      <td>INTEGRAL</td>\n",
              "      <td>8.80</td>\n",
              "      <td>2013</td>\n",
              "      <td>1</td>\n",
              "      <td>2017</td>\n",
              "      <td>2</td>\n",
              "      <td>24</td>\n",
              "      <td>BRANCA</td>\n",
              "      <td>BELA VISTA</td>\n",
              "      <td>28623</td>\n",
              "      <td>NOVA FRIBURGO</td>\n",
              "      <td>0</td>\n",
              "      <td>SOLTEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>5</td>\n",
              "      <td>F</td>\n",
              "      <td>FORMADO</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>A1</td>\n",
              "      <td>559.1</td>\n",
              "      <td>568.1</td>\n",
              "      <td>522.0</td>\n",
              "      <td>587.7</td>\n",
              "      <td>700.0</td>\n",
              "      <td>3</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>NOTURNO</td>\n",
              "      <td>7.20</td>\n",
              "      <td>2013</td>\n",
              "      <td>2</td>\n",
              "      <td>2018</td>\n",
              "      <td>1</td>\n",
              "      <td>24</td>\n",
              "      <td>NÃO DECLARADO</td>\n",
              "      <td>CAXITO</td>\n",
              "      <td>21545160</td>\n",
              "      <td>RIO DE JANEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>SOLTEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>6</td>\n",
              "      <td>F</td>\n",
              "      <td>FORMADO</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>AC</td>\n",
              "      <td>545.4</td>\n",
              "      <td>560.9</td>\n",
              "      <td>508.2</td>\n",
              "      <td>528.0</td>\n",
              "      <td>600.0</td>\n",
              "      <td>62</td>\n",
              "      <td>8</td>\n",
              "      <td>8</td>\n",
              "      <td>INTEGRAL</td>\n",
              "      <td>7.06</td>\n",
              "      <td>2014</td>\n",
              "      <td>2</td>\n",
              "      <td>2015</td>\n",
              "      <td>1</td>\n",
              "      <td>24</td>\n",
              "      <td>NÃO DECLARADO</td>\n",
              "      <td>BARRO VERMELHO</td>\n",
              "      <td>24412330</td>\n",
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              "      <td>2</td>\n",
              "      <td>F</td>\n",
              "      <td>EVADIDO</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "  ACAOAFIRMATIVA  ENEMLINGUAGEM  ...  SEXO  STATUSFORMACAO\n",
              "0             AC          605.8  ...     M         FORMADO\n",
              "1             AC          616.4  ...     M         FORMADO\n",
              "2             AC          636.2  ...     F         FORMADO\n",
              "3             A1          559.1  ...     F         FORMADO\n",
              "4             AC          545.4  ...     F         EVADIDO\n",
              "\n",
              "[5 rows x 26 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 24
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "LzhGyri2Tkti"
      },
      "source": [
        "# Encoding Dataset"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "702V6wdHdUY-",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 634
        },
        "outputId": "c33fd5de-a425-45bb-fa44-9b4cc6185a7f"
      },
      "source": [
        "dataUnique = dataUnique.drop(columns=['CODTURNOINGRESSO','CODTURNOATUAL'])\n",
        "dataUnique"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "    .dataframe tbody tr th {\n",
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              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>ACAOAFIRMATIVA</th>\n",
              "      <th>ENEMLINGUAGEM</th>\n",
              "      <th>ENEMHUMANAS</th>\n",
              "      <th>ENEMNATURAIS</th>\n",
              "      <th>ENEMMATEMATICA</th>\n",
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              "      <th>TURNOATUAL</th>\n",
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              "      <th>IDADE</th>\n",
              "      <th>COR</th>\n",
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              "      <th>CEP</th>\n",
              "      <th>CIDADE</th>\n",
              "      <th>MOBILIDADE</th>\n",
              "      <th>ESTADOCIVIL</th>\n",
              "      <th>TRANCAMENTOS</th>\n",
              "      <th>TEMPOPERMANENCIA</th>\n",
              "      <th>SEXO</th>\n",
              "      <th>STATUSFORMACAO</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>AC</td>\n",
              "      <td>605.8</td>\n",
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              "      <td>6</td>\n",
              "      <td>M</td>\n",
              "      <td>FORMADO</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>AC</td>\n",
              "      <td>616.4</td>\n",
              "      <td>602.8</td>\n",
              "      <td>646.4</td>\n",
              "      <td>696.5</td>\n",
              "      <td>840.0</td>\n",
              "      <td>243</td>\n",
              "      <td>INTEGRAL</td>\n",
              "      <td>7.30</td>\n",
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              "      <td>2018</td>\n",
              "      <td>1</td>\n",
              "      <td>22</td>\n",
              "      <td>NÃO DECLARADO</td>\n",
              "      <td>VILA JACI</td>\n",
              "      <td>12211370</td>\n",
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              "      <td>SOLTEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>5</td>\n",
              "      <td>M</td>\n",
              "      <td>FORMADO</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>AC</td>\n",
              "      <td>636.2</td>\n",
              "      <td>654.1</td>\n",
              "      <td>617.2</td>\n",
              "      <td>760.0</td>\n",
              "      <td>720.0</td>\n",
              "      <td>244</td>\n",
              "      <td>INTEGRAL</td>\n",
              "      <td>8.80</td>\n",
              "      <td>2013</td>\n",
              "      <td>1</td>\n",
              "      <td>2017</td>\n",
              "      <td>2</td>\n",
              "      <td>24</td>\n",
              "      <td>BRANCA</td>\n",
              "      <td>BELA VISTA</td>\n",
              "      <td>28623</td>\n",
              "      <td>NOVA FRIBURGO</td>\n",
              "      <td>0</td>\n",
              "      <td>SOLTEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>5</td>\n",
              "      <td>F</td>\n",
              "      <td>FORMADO</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>A1</td>\n",
              "      <td>559.1</td>\n",
              "      <td>568.1</td>\n",
              "      <td>522.0</td>\n",
              "      <td>587.7</td>\n",
              "      <td>700.0</td>\n",
              "      <td>3</td>\n",
              "      <td>NOTURNO</td>\n",
              "      <td>7.20</td>\n",
              "      <td>2013</td>\n",
              "      <td>2</td>\n",
              "      <td>2018</td>\n",
              "      <td>1</td>\n",
              "      <td>24</td>\n",
              "      <td>NÃO DECLARADO</td>\n",
              "      <td>CAXITO</td>\n",
              "      <td>21545160</td>\n",
              "      <td>RIO DE JANEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>SOLTEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>6</td>\n",
              "      <td>F</td>\n",
              "      <td>FORMADO</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>AC</td>\n",
              "      <td>545.4</td>\n",
              "      <td>560.9</td>\n",
              "      <td>508.2</td>\n",
              "      <td>528.0</td>\n",
              "      <td>600.0</td>\n",
              "      <td>62</td>\n",
              "      <td>INTEGRAL</td>\n",
              "      <td>7.06</td>\n",
              "      <td>2014</td>\n",
              "      <td>2</td>\n",
              "      <td>2015</td>\n",
              "      <td>1</td>\n",
              "      <td>24</td>\n",
              "      <td>NÃO DECLARADO</td>\n",
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              "      <td>24412330</td>\n",
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              "      <td>0</td>\n",
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              "      <td>0</td>\n",
              "      <td>2</td>\n",
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              "      <td>EVADIDO</td>\n",
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              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
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              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>259048</th>\n",
              "      <td>AC</td>\n",
              "      <td>580.5</td>\n",
              "      <td>570.1</td>\n",
              "      <td>477.0</td>\n",
              "      <td>451.7</td>\n",
              "      <td>940.0</td>\n",
              "      <td>21</td>\n",
              "      <td>INTEGRAL</td>\n",
              "      <td>4.25</td>\n",
              "      <td>2014</td>\n",
              "      <td>1</td>\n",
              "      <td>2014</td>\n",
              "      <td>1</td>\n",
              "      <td>22</td>\n",
              "      <td>BRANCA</td>\n",
              "      <td>ROCHA</td>\n",
              "      <td>24421345</td>\n",
              "      <td>SÃO GONÇALO</td>\n",
              "      <td>0</td>\n",
              "      <td>SOLTEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>F</td>\n",
              "      <td>EVADIDO</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>261786</th>\n",
              "      <td>AC</td>\n",
              "      <td>667.0</td>\n",
              "      <td>774.3</td>\n",
              "      <td>697.0</td>\n",
              "      <td>799.4</td>\n",
              "      <td>680.0</td>\n",
              "      <td>41</td>\n",
              "      <td>INTEGRAL</td>\n",
              "      <td>0.00</td>\n",
              "      <td>2014</td>\n",
              "      <td>1</td>\n",
              "      <td>2014</td>\n",
              "      <td>1</td>\n",
              "      <td>32</td>\n",
              "      <td>NÃO DECLARADO</td>\n",
              "      <td>BARRA DA TIJUCA</td>\n",
              "      <td>22793060</td>\n",
              "      <td>RIO DE JANEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>SOLTEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>M</td>\n",
              "      <td>EVADIDO</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>264305</th>\n",
              "      <td>AC</td>\n",
              "      <td>568.2</td>\n",
              "      <td>665.7</td>\n",
              "      <td>592.2</td>\n",
              "      <td>648.9</td>\n",
              "      <td>660.0</td>\n",
              "      <td>20</td>\n",
              "      <td>NOTURNO</td>\n",
              "      <td>0.00</td>\n",
              "      <td>2014</td>\n",
              "      <td>2</td>\n",
              "      <td>2014</td>\n",
              "      <td>2</td>\n",
              "      <td>34</td>\n",
              "      <td>NÃO DECLARADO</td>\n",
              "      <td>VILA VALQUEIRE</td>\n",
              "      <td>21330320</td>\n",
              "      <td>RIO DE JANEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>SOLTEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>F</td>\n",
              "      <td>EVADIDO</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>265343</th>\n",
              "      <td>AC</td>\n",
              "      <td>645.1</td>\n",
              "      <td>667.6</td>\n",
              "      <td>668.8</td>\n",
              "      <td>800.5</td>\n",
              "      <td>680.0</td>\n",
              "      <td>20</td>\n",
              "      <td>NOTURNO</td>\n",
              "      <td>0.00</td>\n",
              "      <td>2014</td>\n",
              "      <td>2</td>\n",
              "      <td>2014</td>\n",
              "      <td>2</td>\n",
              "      <td>23</td>\n",
              "      <td>BRANCA</td>\n",
              "      <td>GLÓRIA</td>\n",
              "      <td>20241220</td>\n",
              "      <td>RIO DE JANEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>SOLTEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>M</td>\n",
              "      <td>EVADIDO</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>265438</th>\n",
              "      <td>L4</td>\n",
              "      <td>561.5</td>\n",
              "      <td>563.7</td>\n",
              "      <td>499.0</td>\n",
              "      <td>585.1</td>\n",
              "      <td>800.0</td>\n",
              "      <td>21</td>\n",
              "      <td>NOTURNO</td>\n",
              "      <td>0.75</td>\n",
              "      <td>2014</td>\n",
              "      <td>2</td>\n",
              "      <td>2014</td>\n",
              "      <td>2</td>\n",
              "      <td>29</td>\n",
              "      <td>NÃO DECLARADO</td>\n",
              "      <td>GALO BRANCO</td>\n",
              "      <td>24422330</td>\n",
              "      <td>SÃO GONÇALO</td>\n",
              "      <td>0</td>\n",
              "      <td>SOLTEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>M</td>\n",
              "      <td>EVADIDO</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>12969 rows × 24 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "       ACAOAFIRMATIVA  ENEMLINGUAGEM  ...  SEXO  STATUSFORMACAO\n",
              "0                  AC          605.8  ...     M         FORMADO\n",
              "1                  AC          616.4  ...     M         FORMADO\n",
              "2                  AC          636.2  ...     F         FORMADO\n",
              "3                  A1          559.1  ...     F         FORMADO\n",
              "4                  AC          545.4  ...     F         EVADIDO\n",
              "...               ...            ...  ...   ...             ...\n",
              "259048             AC          580.5  ...     F         EVADIDO\n",
              "261786             AC          667.0  ...     M         EVADIDO\n",
              "264305             AC          568.2  ...     F         EVADIDO\n",
              "265343             AC          645.1  ...     M         EVADIDO\n",
              "265438             L4          561.5  ...     M         EVADIDO\n",
              "\n",
              "[12969 rows x 24 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 25
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "FiS_mGCMDE8p",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 257
        },
        "outputId": "76aea428-745b-4772-85a9-c9efd8dd6e9a"
      },
      "source": [
        "dataUnique.groupby(['TURNOATUAL']).agg(['count'])"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
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              "\n",
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              "\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr>\n",
              "      <th></th>\n",
              "      <th>ACAOAFIRMATIVA</th>\n",
              "      <th>ENEMLINGUAGEM</th>\n",
              "      <th>ENEMHUMANAS</th>\n",
              "      <th>ENEMNATURAIS</th>\n",
              "      <th>ENEMMATEMATICA</th>\n",
              "      <th>ENEMREDACAO</th>\n",
              "      <th>CURSO</th>\n",
              "      <th>CR</th>\n",
              "      <th>ANOINGRESSO</th>\n",
              "      <th>SEMESTREINGRESSO</th>\n",
              "      <th>ANODESVINCULACAO</th>\n",
              "      <th>SEMESTREDESVINCULACAO</th>\n",
              "      <th>IDADE</th>\n",
              "      <th>COR</th>\n",
              "      <th>BAIRRO</th>\n",
              "      <th>CEP</th>\n",
              "      <th>CIDADE</th>\n",
              "      <th>MOBILIDADE</th>\n",
              "      <th>ESTADOCIVIL</th>\n",
              "      <th>TRANCAMENTOS</th>\n",
              "      <th>TEMPOPERMANENCIA</th>\n",
              "      <th>SEXO</th>\n",
              "      <th>STATUSFORMACAO</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th></th>\n",
              "      <th>count</th>\n",
              "      <th>count</th>\n",
              "      <th>count</th>\n",
              "      <th>count</th>\n",
              "      <th>count</th>\n",
              "      <th>count</th>\n",
              "      <th>count</th>\n",
              "      <th>count</th>\n",
              "      <th>count</th>\n",
              "      <th>count</th>\n",
              "      <th>count</th>\n",
              "      <th>count</th>\n",
              "      <th>count</th>\n",
              "      <th>count</th>\n",
              "      <th>count</th>\n",
              "      <th>count</th>\n",
              "      <th>count</th>\n",
              "      <th>count</th>\n",
              "      <th>count</th>\n",
              "      <th>count</th>\n",
              "      <th>count</th>\n",
              "      <th>count</th>\n",
              "      <th>count</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>TURNOATUAL</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>INTEGRAL</th>\n",
              "      <td>7300</td>\n",
              "      <td>7300</td>\n",
              "      <td>7300</td>\n",
              "      <td>7300</td>\n",
              "      <td>7300</td>\n",
              "      <td>7300</td>\n",
              "      <td>7300</td>\n",
              "      <td>7300</td>\n",
              "      <td>7300</td>\n",
              "      <td>7300</td>\n",
              "      <td>7300</td>\n",
              "      <td>7300</td>\n",
              "      <td>7300</td>\n",
              "      <td>7300</td>\n",
              "      <td>7300</td>\n",
              "      <td>7300</td>\n",
              "      <td>7300</td>\n",
              "      <td>7300</td>\n",
              "      <td>7300</td>\n",
              "      <td>7300</td>\n",
              "      <td>7300</td>\n",
              "      <td>7300</td>\n",
              "      <td>7300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>MATUTINO</th>\n",
              "      <td>1193</td>\n",
              "      <td>1193</td>\n",
              "      <td>1193</td>\n",
              "      <td>1193</td>\n",
              "      <td>1193</td>\n",
              "      <td>1193</td>\n",
              "      <td>1193</td>\n",
              "      <td>1193</td>\n",
              "      <td>1193</td>\n",
              "      <td>1193</td>\n",
              "      <td>1193</td>\n",
              "      <td>1193</td>\n",
              "      <td>1193</td>\n",
              "      <td>1193</td>\n",
              "      <td>1193</td>\n",
              "      <td>1193</td>\n",
              "      <td>1193</td>\n",
              "      <td>1193</td>\n",
              "      <td>1193</td>\n",
              "      <td>1193</td>\n",
              "      <td>1193</td>\n",
              "      <td>1193</td>\n",
              "      <td>1193</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>NOTURNO</th>\n",
              "      <td>4096</td>\n",
              "      <td>4096</td>\n",
              "      <td>4096</td>\n",
              "      <td>4096</td>\n",
              "      <td>4096</td>\n",
              "      <td>4096</td>\n",
              "      <td>4096</td>\n",
              "      <td>4096</td>\n",
              "      <td>4096</td>\n",
              "      <td>4096</td>\n",
              "      <td>4096</td>\n",
              "      <td>4096</td>\n",
              "      <td>4096</td>\n",
              "      <td>4096</td>\n",
              "      <td>4096</td>\n",
              "      <td>4096</td>\n",
              "      <td>4096</td>\n",
              "      <td>4096</td>\n",
              "      <td>4096</td>\n",
              "      <td>4096</td>\n",
              "      <td>4096</td>\n",
              "      <td>4096</td>\n",
              "      <td>4096</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>VESPERTINO</th>\n",
              "      <td>365</td>\n",
              "      <td>365</td>\n",
              "      <td>365</td>\n",
              "      <td>365</td>\n",
              "      <td>365</td>\n",
              "      <td>365</td>\n",
              "      <td>365</td>\n",
              "      <td>365</td>\n",
              "      <td>365</td>\n",
              "      <td>365</td>\n",
              "      <td>365</td>\n",
              "      <td>365</td>\n",
              "      <td>365</td>\n",
              "      <td>365</td>\n",
              "      <td>365</td>\n",
              "      <td>365</td>\n",
              "      <td>365</td>\n",
              "      <td>365</td>\n",
              "      <td>365</td>\n",
              "      <td>365</td>\n",
              "      <td>365</td>\n",
              "      <td>365</td>\n",
              "      <td>365</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "           ACAOAFIRMATIVA ENEMLINGUAGEM  ...  SEXO STATUSFORMACAO\n",
              "                    count         count  ... count          count\n",
              "TURNOATUAL                               ...                     \n",
              "INTEGRAL             7300          7300  ...  7300           7300\n",
              "MATUTINO             1193          1193  ...  1193           1193\n",
              "NOTURNO              4096          4096  ...  4096           4096\n",
              "VESPERTINO            365           365  ...   365            365\n",
              "\n",
              "[4 rows x 23 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 26
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "pQ7rjTbuEsm7",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 652
        },
        "outputId": "775d1a45-3eeb-4a8e-f26c-d76c13e460c0"
      },
      "source": [
        "dataUnique = pd.get_dummies(dataUnique,prefix=['ACAOAFIRMATIVA'], columns = ['ACAOAFIRMATIVA'], drop_first=True)\n",
        "dataUnique = pd.get_dummies(dataUnique,prefix=['TURNOATUAL'], columns = ['TURNOATUAL'], drop_first=True)\n",
        "dataUnique = pd.get_dummies(dataUnique,prefix=['COR'], columns = ['COR'], drop_first=True)\n",
        "dataUnique = pd.get_dummies(dataUnique,prefix=['CURSO'], columns = ['CURSO'], drop_first=True)\n",
        "dataUnique"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "\n",
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              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>ENEMLINGUAGEM</th>\n",
              "      <th>ENEMHUMANAS</th>\n",
              "      <th>ENEMNATURAIS</th>\n",
              "      <th>ENEMMATEMATICA</th>\n",
              "      <th>ENEMREDACAO</th>\n",
              "      <th>CR</th>\n",
              "      <th>ANOINGRESSO</th>\n",
              "      <th>SEMESTREINGRESSO</th>\n",
              "      <th>ANODESVINCULACAO</th>\n",
              "      <th>SEMESTREDESVINCULACAO</th>\n",
              "      <th>IDADE</th>\n",
              "      <th>BAIRRO</th>\n",
              "      <th>CEP</th>\n",
              "      <th>CIDADE</th>\n",
              "      <th>MOBILIDADE</th>\n",
              "      <th>ESTADOCIVIL</th>\n",
              "      <th>TRANCAMENTOS</th>\n",
              "      <th>TEMPOPERMANENCIA</th>\n",
              "      <th>SEXO</th>\n",
              "      <th>STATUSFORMACAO</th>\n",
              "      <th>ACAOAFIRMATIVA_AC</th>\n",
              "      <th>ACAOAFIRMATIVA_L1</th>\n",
              "      <th>ACAOAFIRMATIVA_L2</th>\n",
              "      <th>ACAOAFIRMATIVA_L3</th>\n",
              "      <th>ACAOAFIRMATIVA_L4</th>\n",
              "      <th>TURNOATUAL_MATUTINO</th>\n",
              "      <th>TURNOATUAL_NOTURNO</th>\n",
              "      <th>TURNOATUAL_VESPERTINO</th>\n",
              "      <th>COR_BRANCA</th>\n",
              "      <th>COR_INDÍGENA</th>\n",
              "      <th>COR_NEGRA</th>\n",
              "      <th>COR_NÃO DECLARADO</th>\n",
              "      <th>COR_PARDA</th>\n",
              "      <th>CURSO_2</th>\n",
              "      <th>CURSO_3</th>\n",
              "      <th>CURSO_4</th>\n",
              "      <th>CURSO_5</th>\n",
              "      <th>CURSO_6</th>\n",
              "      <th>CURSO_7</th>\n",
              "      <th>CURSO_9</th>\n",
              "      <th>...</th>\n",
              "      <th>CURSO_60</th>\n",
              "      <th>CURSO_61</th>\n",
              "      <th>CURSO_62</th>\n",
              "      <th>CURSO_63</th>\n",
              "      <th>CURSO_64</th>\n",
              "      <th>CURSO_65</th>\n",
              "      <th>CURSO_101</th>\n",
              "      <th>CURSO_102</th>\n",
              "      <th>CURSO_194</th>\n",
              "      <th>CURSO_195</th>\n",
              "      <th>CURSO_201</th>\n",
              "      <th>CURSO_221</th>\n",
              "      <th>CURSO_222</th>\n",
              "      <th>CURSO_241</th>\n",
              "      <th>CURSO_242</th>\n",
              "      <th>CURSO_243</th>\n",
              "      <th>CURSO_244</th>\n",
              "      <th>CURSO_245</th>\n",
              "      <th>CURSO_261</th>\n",
              "      <th>CURSO_262</th>\n",
              "      <th>CURSO_263</th>\n",
              "      <th>CURSO_264</th>\n",
              "      <th>CURSO_282</th>\n",
              "      <th>CURSO_286</th>\n",
              "      <th>CURSO_287</th>\n",
              "      <th>CURSO_288</th>\n",
              "      <th>CURSO_302</th>\n",
              "      <th>CURSO_322</th>\n",
              "      <th>CURSO_342</th>\n",
              "      <th>CURSO_343</th>\n",
              "      <th>CURSO_362</th>\n",
              "      <th>CURSO_382</th>\n",
              "      <th>CURSO_402</th>\n",
              "      <th>CURSO_403</th>\n",
              "      <th>CURSO_422</th>\n",
              "      <th>CURSO_462</th>\n",
              "      <th>CURSO_502</th>\n",
              "      <th>CURSO_522</th>\n",
              "      <th>CURSO_523</th>\n",
              "      <th>CURSO_562</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>605.8</td>\n",
              "      <td>743.4</td>\n",
              "      <td>706.6</td>\n",
              "      <td>840.1</td>\n",
              "      <td>960.0</td>\n",
              "      <td>8.00</td>\n",
              "      <td>2013</td>\n",
              "      <td>1</td>\n",
              "      <td>2018</td>\n",
              "      <td>1</td>\n",
              "      <td>24</td>\n",
              "      <td>JARDIM ICARAÍ</td>\n",
              "      <td>24220330</td>\n",
              "      <td>NITERÓI</td>\n",
              "      <td>0</td>\n",
              "      <td>SOLTEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>6</td>\n",
              "      <td>M</td>\n",
              "      <td>FORMADO</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>616.4</td>\n",
              "      <td>602.8</td>\n",
              "      <td>646.4</td>\n",
              "      <td>696.5</td>\n",
              "      <td>840.0</td>\n",
              "      <td>7.30</td>\n",
              "      <td>2014</td>\n",
              "      <td>1</td>\n",
              "      <td>2018</td>\n",
              "      <td>1</td>\n",
              "      <td>22</td>\n",
              "      <td>VILA JACI</td>\n",
              "      <td>12211370</td>\n",
              "      <td>SÃO JOSÉ DOS CAMPOS</td>\n",
              "      <td>0</td>\n",
              "      <td>SOLTEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>5</td>\n",
              "      <td>M</td>\n",
              "      <td>FORMADO</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>636.2</td>\n",
              "      <td>654.1</td>\n",
              "      <td>617.2</td>\n",
              "      <td>760.0</td>\n",
              "      <td>720.0</td>\n",
              "      <td>8.80</td>\n",
              "      <td>2013</td>\n",
              "      <td>1</td>\n",
              "      <td>2017</td>\n",
              "      <td>2</td>\n",
              "      <td>24</td>\n",
              "      <td>BELA VISTA</td>\n",
              "      <td>28623</td>\n",
              "      <td>NOVA FRIBURGO</td>\n",
              "      <td>0</td>\n",
              "      <td>SOLTEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>5</td>\n",
              "      <td>F</td>\n",
              "      <td>FORMADO</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>559.1</td>\n",
              "      <td>568.1</td>\n",
              "      <td>522.0</td>\n",
              "      <td>587.7</td>\n",
              "      <td>700.0</td>\n",
              "      <td>7.20</td>\n",
              "      <td>2013</td>\n",
              "      <td>2</td>\n",
              "      <td>2018</td>\n",
              "      <td>1</td>\n",
              "      <td>24</td>\n",
              "      <td>CAXITO</td>\n",
              "      <td>21545160</td>\n",
              "      <td>RIO DE JANEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>SOLTEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>6</td>\n",
              "      <td>F</td>\n",
              "      <td>FORMADO</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>545.4</td>\n",
              "      <td>560.9</td>\n",
              "      <td>508.2</td>\n",
              "      <td>528.0</td>\n",
              "      <td>600.0</td>\n",
              "      <td>7.06</td>\n",
              "      <td>2014</td>\n",
              "      <td>2</td>\n",
              "      <td>2015</td>\n",
              "      <td>1</td>\n",
              "      <td>24</td>\n",
              "      <td>BARRO VERMELHO</td>\n",
              "      <td>24412330</td>\n",
              "      <td>SÃO GONÇALO</td>\n",
              "      <td>0</td>\n",
              "      <td>SOLTEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>F</td>\n",
              "      <td>EVADIDO</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>259048</th>\n",
              "      <td>580.5</td>\n",
              "      <td>570.1</td>\n",
              "      <td>477.0</td>\n",
              "      <td>451.7</td>\n",
              "      <td>940.0</td>\n",
              "      <td>4.25</td>\n",
              "      <td>2014</td>\n",
              "      <td>1</td>\n",
              "      <td>2014</td>\n",
              "      <td>1</td>\n",
              "      <td>22</td>\n",
              "      <td>ROCHA</td>\n",
              "      <td>24421345</td>\n",
              "      <td>SÃO GONÇALO</td>\n",
              "      <td>0</td>\n",
              "      <td>SOLTEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>F</td>\n",
              "      <td>EVADIDO</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>261786</th>\n",
              "      <td>667.0</td>\n",
              "      <td>774.3</td>\n",
              "      <td>697.0</td>\n",
              "      <td>799.4</td>\n",
              "      <td>680.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>2014</td>\n",
              "      <td>1</td>\n",
              "      <td>2014</td>\n",
              "      <td>1</td>\n",
              "      <td>32</td>\n",
              "      <td>BARRA DA TIJUCA</td>\n",
              "      <td>22793060</td>\n",
              "      <td>RIO DE JANEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>SOLTEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>M</td>\n",
              "      <td>EVADIDO</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>264305</th>\n",
              "      <td>568.2</td>\n",
              "      <td>665.7</td>\n",
              "      <td>592.2</td>\n",
              "      <td>648.9</td>\n",
              "      <td>660.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>2014</td>\n",
              "      <td>2</td>\n",
              "      <td>2014</td>\n",
              "      <td>2</td>\n",
              "      <td>34</td>\n",
              "      <td>VILA VALQUEIRE</td>\n",
              "      <td>21330320</td>\n",
              "      <td>RIO DE JANEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>SOLTEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>F</td>\n",
              "      <td>EVADIDO</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>265343</th>\n",
              "      <td>645.1</td>\n",
              "      <td>667.6</td>\n",
              "      <td>668.8</td>\n",
              "      <td>800.5</td>\n",
              "      <td>680.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>2014</td>\n",
              "      <td>2</td>\n",
              "      <td>2014</td>\n",
              "      <td>2</td>\n",
              "      <td>23</td>\n",
              "      <td>GLÓRIA</td>\n",
              "      <td>20241220</td>\n",
              "      <td>RIO DE JANEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>SOLTEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>M</td>\n",
              "      <td>EVADIDO</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>265438</th>\n",
              "      <td>561.5</td>\n",
              "      <td>563.7</td>\n",
              "      <td>499.0</td>\n",
              "      <td>585.1</td>\n",
              "      <td>800.0</td>\n",
              "      <td>0.75</td>\n",
              "      <td>2014</td>\n",
              "      <td>2</td>\n",
              "      <td>2014</td>\n",
              "      <td>2</td>\n",
              "      <td>29</td>\n",
              "      <td>GALO BRANCO</td>\n",
              "      <td>24422330</td>\n",
              "      <td>SÃO GONÇALO</td>\n",
              "      <td>0</td>\n",
              "      <td>SOLTEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>M</td>\n",
              "      <td>EVADIDO</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>12969 rows × 126 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "        ENEMLINGUAGEM  ENEMHUMANAS  ...  CURSO_523  CURSO_562\n",
              "0               605.8        743.4  ...          0          0\n",
              "1               616.4        602.8  ...          0          0\n",
              "2               636.2        654.1  ...          0          0\n",
              "3               559.1        568.1  ...          0          0\n",
              "4               545.4        560.9  ...          0          0\n",
              "...               ...          ...  ...        ...        ...\n",
              "259048          580.5        570.1  ...          0          0\n",
              "261786          667.0        774.3  ...          0          0\n",
              "264305          568.2        665.7  ...          0          0\n",
              "265343          645.1        667.6  ...          0          0\n",
              "265438          561.5        563.7  ...          0          0\n",
              "\n",
              "[12969 rows x 126 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 27
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "tjgXRaHSJLSk",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 652
        },
        "outputId": "470f7546-d736-45e0-9aa1-87a5163d2f8e"
      },
      "source": [
        "dataUniqueVal = dataUnique.query('ANOINGRESSO == 2014')\n",
        "dataUniqueVal"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "    .dataframe tbody tr th:only-of-type {\n",
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              "\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>ENEMLINGUAGEM</th>\n",
              "      <th>ENEMHUMANAS</th>\n",
              "      <th>ENEMNATURAIS</th>\n",
              "      <th>ENEMMATEMATICA</th>\n",
              "      <th>ENEMREDACAO</th>\n",
              "      <th>CR</th>\n",
              "      <th>ANOINGRESSO</th>\n",
              "      <th>SEMESTREINGRESSO</th>\n",
              "      <th>ANODESVINCULACAO</th>\n",
              "      <th>SEMESTREDESVINCULACAO</th>\n",
              "      <th>IDADE</th>\n",
              "      <th>BAIRRO</th>\n",
              "      <th>CEP</th>\n",
              "      <th>CIDADE</th>\n",
              "      <th>MOBILIDADE</th>\n",
              "      <th>ESTADOCIVIL</th>\n",
              "      <th>TRANCAMENTOS</th>\n",
              "      <th>TEMPOPERMANENCIA</th>\n",
              "      <th>SEXO</th>\n",
              "      <th>STATUSFORMACAO</th>\n",
              "      <th>ACAOAFIRMATIVA_AC</th>\n",
              "      <th>ACAOAFIRMATIVA_L1</th>\n",
              "      <th>ACAOAFIRMATIVA_L2</th>\n",
              "      <th>ACAOAFIRMATIVA_L3</th>\n",
              "      <th>ACAOAFIRMATIVA_L4</th>\n",
              "      <th>TURNOATUAL_MATUTINO</th>\n",
              "      <th>TURNOATUAL_NOTURNO</th>\n",
              "      <th>TURNOATUAL_VESPERTINO</th>\n",
              "      <th>COR_BRANCA</th>\n",
              "      <th>COR_INDÍGENA</th>\n",
              "      <th>COR_NEGRA</th>\n",
              "      <th>COR_NÃO DECLARADO</th>\n",
              "      <th>COR_PARDA</th>\n",
              "      <th>CURSO_2</th>\n",
              "      <th>CURSO_3</th>\n",
              "      <th>CURSO_4</th>\n",
              "      <th>CURSO_5</th>\n",
              "      <th>CURSO_6</th>\n",
              "      <th>CURSO_7</th>\n",
              "      <th>CURSO_9</th>\n",
              "      <th>...</th>\n",
              "      <th>CURSO_60</th>\n",
              "      <th>CURSO_61</th>\n",
              "      <th>CURSO_62</th>\n",
              "      <th>CURSO_63</th>\n",
              "      <th>CURSO_64</th>\n",
              "      <th>CURSO_65</th>\n",
              "      <th>CURSO_101</th>\n",
              "      <th>CURSO_102</th>\n",
              "      <th>CURSO_194</th>\n",
              "      <th>CURSO_195</th>\n",
              "      <th>CURSO_201</th>\n",
              "      <th>CURSO_221</th>\n",
              "      <th>CURSO_222</th>\n",
              "      <th>CURSO_241</th>\n",
              "      <th>CURSO_242</th>\n",
              "      <th>CURSO_243</th>\n",
              "      <th>CURSO_244</th>\n",
              "      <th>CURSO_245</th>\n",
              "      <th>CURSO_261</th>\n",
              "      <th>CURSO_262</th>\n",
              "      <th>CURSO_263</th>\n",
              "      <th>CURSO_264</th>\n",
              "      <th>CURSO_282</th>\n",
              "      <th>CURSO_286</th>\n",
              "      <th>CURSO_287</th>\n",
              "      <th>CURSO_288</th>\n",
              "      <th>CURSO_302</th>\n",
              "      <th>CURSO_322</th>\n",
              "      <th>CURSO_342</th>\n",
              "      <th>CURSO_343</th>\n",
              "      <th>CURSO_362</th>\n",
              "      <th>CURSO_382</th>\n",
              "      <th>CURSO_402</th>\n",
              "      <th>CURSO_403</th>\n",
              "      <th>CURSO_422</th>\n",
              "      <th>CURSO_462</th>\n",
              "      <th>CURSO_502</th>\n",
              "      <th>CURSO_522</th>\n",
              "      <th>CURSO_523</th>\n",
              "      <th>CURSO_562</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>616.4</td>\n",
              "      <td>602.8</td>\n",
              "      <td>646.4</td>\n",
              "      <td>696.5</td>\n",
              "      <td>840.0</td>\n",
              "      <td>7.30</td>\n",
              "      <td>2014</td>\n",
              "      <td>1</td>\n",
              "      <td>2018</td>\n",
              "      <td>1</td>\n",
              "      <td>22</td>\n",
              "      <td>VILA JACI</td>\n",
              "      <td>12211370</td>\n",
              "      <td>SÃO JOSÉ DOS CAMPOS</td>\n",
              "      <td>0</td>\n",
              "      <td>SOLTEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>5</td>\n",
              "      <td>M</td>\n",
              "      <td>FORMADO</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>545.4</td>\n",
              "      <td>560.9</td>\n",
              "      <td>508.2</td>\n",
              "      <td>528.0</td>\n",
              "      <td>600.0</td>\n",
              "      <td>7.06</td>\n",
              "      <td>2014</td>\n",
              "      <td>2</td>\n",
              "      <td>2015</td>\n",
              "      <td>1</td>\n",
              "      <td>24</td>\n",
              "      <td>BARRO VERMELHO</td>\n",
              "      <td>24412330</td>\n",
              "      <td>SÃO GONÇALO</td>\n",
              "      <td>0</td>\n",
              "      <td>SOLTEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>F</td>\n",
              "      <td>EVADIDO</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>662.7</td>\n",
              "      <td>632.7</td>\n",
              "      <td>618.4</td>\n",
              "      <td>680.9</td>\n",
              "      <td>680.0</td>\n",
              "      <td>2.20</td>\n",
              "      <td>2014</td>\n",
              "      <td>2</td>\n",
              "      <td>2018</td>\n",
              "      <td>2</td>\n",
              "      <td>22</td>\n",
              "      <td>JARDIM ATLÂNTICO</td>\n",
              "      <td>74343500</td>\n",
              "      <td>GOIÂNIA</td>\n",
              "      <td>0</td>\n",
              "      <td>SOLTEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>5</td>\n",
              "      <td>F</td>\n",
              "      <td>EVADIDO</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>530.5</td>\n",
              "      <td>564.2</td>\n",
              "      <td>465.2</td>\n",
              "      <td>442.4</td>\n",
              "      <td>680.0</td>\n",
              "      <td>5.50</td>\n",
              "      <td>2014</td>\n",
              "      <td>2</td>\n",
              "      <td>2018</td>\n",
              "      <td>2</td>\n",
              "      <td>22</td>\n",
              "      <td>VILA CORTÊS</td>\n",
              "      <td>24890000</td>\n",
              "      <td>TANGUÁ</td>\n",
              "      <td>0</td>\n",
              "      <td>SOLTEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>5</td>\n",
              "      <td>F</td>\n",
              "      <td>EVADIDO</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>577.5</td>\n",
              "      <td>558.6</td>\n",
              "      <td>362.2</td>\n",
              "      <td>472.0</td>\n",
              "      <td>520.0</td>\n",
              "      <td>7.41</td>\n",
              "      <td>2014</td>\n",
              "      <td>2</td>\n",
              "      <td>2015</td>\n",
              "      <td>2</td>\n",
              "      <td>27</td>\n",
              "      <td>MUTONDO</td>\n",
              "      <td>24450400</td>\n",
              "      <td>SÃO GONÇALO</td>\n",
              "      <td>0</td>\n",
              "      <td>SOLTEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>F</td>\n",
              "      <td>EVADIDO</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>259048</th>\n",
              "      <td>580.5</td>\n",
              "      <td>570.1</td>\n",
              "      <td>477.0</td>\n",
              "      <td>451.7</td>\n",
              "      <td>940.0</td>\n",
              "      <td>4.25</td>\n",
              "      <td>2014</td>\n",
              "      <td>1</td>\n",
              "      <td>2014</td>\n",
              "      <td>1</td>\n",
              "      <td>22</td>\n",
              "      <td>ROCHA</td>\n",
              "      <td>24421345</td>\n",
              "      <td>SÃO GONÇALO</td>\n",
              "      <td>0</td>\n",
              "      <td>SOLTEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>F</td>\n",
              "      <td>EVADIDO</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>261786</th>\n",
              "      <td>667.0</td>\n",
              "      <td>774.3</td>\n",
              "      <td>697.0</td>\n",
              "      <td>799.4</td>\n",
              "      <td>680.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>2014</td>\n",
              "      <td>1</td>\n",
              "      <td>2014</td>\n",
              "      <td>1</td>\n",
              "      <td>32</td>\n",
              "      <td>BARRA DA TIJUCA</td>\n",
              "      <td>22793060</td>\n",
              "      <td>RIO DE JANEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>SOLTEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>M</td>\n",
              "      <td>EVADIDO</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>264305</th>\n",
              "      <td>568.2</td>\n",
              "      <td>665.7</td>\n",
              "      <td>592.2</td>\n",
              "      <td>648.9</td>\n",
              "      <td>660.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>2014</td>\n",
              "      <td>2</td>\n",
              "      <td>2014</td>\n",
              "      <td>2</td>\n",
              "      <td>34</td>\n",
              "      <td>VILA VALQUEIRE</td>\n",
              "      <td>21330320</td>\n",
              "      <td>RIO DE JANEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>SOLTEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>F</td>\n",
              "      <td>EVADIDO</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>265343</th>\n",
              "      <td>645.1</td>\n",
              "      <td>667.6</td>\n",
              "      <td>668.8</td>\n",
              "      <td>800.5</td>\n",
              "      <td>680.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>2014</td>\n",
              "      <td>2</td>\n",
              "      <td>2014</td>\n",
              "      <td>2</td>\n",
              "      <td>23</td>\n",
              "      <td>GLÓRIA</td>\n",
              "      <td>20241220</td>\n",
              "      <td>RIO DE JANEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>SOLTEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>M</td>\n",
              "      <td>EVADIDO</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>265438</th>\n",
              "      <td>561.5</td>\n",
              "      <td>563.7</td>\n",
              "      <td>499.0</td>\n",
              "      <td>585.1</td>\n",
              "      <td>800.0</td>\n",
              "      <td>0.75</td>\n",
              "      <td>2014</td>\n",
              "      <td>2</td>\n",
              "      <td>2014</td>\n",
              "      <td>2</td>\n",
              "      <td>29</td>\n",
              "      <td>GALO BRANCO</td>\n",
              "      <td>24422330</td>\n",
              "      <td>SÃO GONÇALO</td>\n",
              "      <td>0</td>\n",
              "      <td>SOLTEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>M</td>\n",
              "      <td>EVADIDO</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>4528 rows × 126 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "        ENEMLINGUAGEM  ENEMHUMANAS  ...  CURSO_523  CURSO_562\n",
              "1               616.4        602.8  ...          0          0\n",
              "4               545.4        560.9  ...          0          0\n",
              "5               662.7        632.7  ...          0          0\n",
              "6               530.5        564.2  ...          0          0\n",
              "10              577.5        558.6  ...          0          0\n",
              "...               ...          ...  ...        ...        ...\n",
              "259048          580.5        570.1  ...          0          0\n",
              "261786          667.0        774.3  ...          0          0\n",
              "264305          568.2        665.7  ...          0          0\n",
              "265343          645.1        667.6  ...          0          0\n",
              "265438          561.5        563.7  ...          0          0\n",
              "\n",
              "[4528 rows x 126 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 28
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "fGd9MfK_J_pp",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 634
        },
        "outputId": "50b0e630-0160-4562-de4c-786cd7c5c4d3"
      },
      "source": [
        "dataUnique = dataUnique.query('ANOINGRESSO < 2014')\n",
        "dataUnique"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>ENEMLINGUAGEM</th>\n",
              "      <th>ENEMHUMANAS</th>\n",
              "      <th>ENEMNATURAIS</th>\n",
              "      <th>ENEMMATEMATICA</th>\n",
              "      <th>ENEMREDACAO</th>\n",
              "      <th>CR</th>\n",
              "      <th>ANOINGRESSO</th>\n",
              "      <th>SEMESTREINGRESSO</th>\n",
              "      <th>ANODESVINCULACAO</th>\n",
              "      <th>SEMESTREDESVINCULACAO</th>\n",
              "      <th>IDADE</th>\n",
              "      <th>BAIRRO</th>\n",
              "      <th>CEP</th>\n",
              "      <th>CIDADE</th>\n",
              "      <th>MOBILIDADE</th>\n",
              "      <th>ESTADOCIVIL</th>\n",
              "      <th>TRANCAMENTOS</th>\n",
              "      <th>TEMPOPERMANENCIA</th>\n",
              "      <th>SEXO</th>\n",
              "      <th>STATUSFORMACAO</th>\n",
              "      <th>ACAOAFIRMATIVA_AC</th>\n",
              "      <th>ACAOAFIRMATIVA_L1</th>\n",
              "      <th>ACAOAFIRMATIVA_L2</th>\n",
              "      <th>ACAOAFIRMATIVA_L3</th>\n",
              "      <th>ACAOAFIRMATIVA_L4</th>\n",
              "      <th>TURNOATUAL_MATUTINO</th>\n",
              "      <th>TURNOATUAL_NOTURNO</th>\n",
              "      <th>TURNOATUAL_VESPERTINO</th>\n",
              "      <th>COR_BRANCA</th>\n",
              "      <th>COR_INDÍGENA</th>\n",
              "      <th>COR_NEGRA</th>\n",
              "      <th>COR_NÃO DECLARADO</th>\n",
              "      <th>COR_PARDA</th>\n",
              "      <th>CURSO_2</th>\n",
              "      <th>CURSO_3</th>\n",
              "      <th>CURSO_4</th>\n",
              "      <th>CURSO_5</th>\n",
              "      <th>CURSO_6</th>\n",
              "      <th>CURSO_7</th>\n",
              "      <th>CURSO_9</th>\n",
              "      <th>...</th>\n",
              "      <th>CURSO_60</th>\n",
              "      <th>CURSO_61</th>\n",
              "      <th>CURSO_62</th>\n",
              "      <th>CURSO_63</th>\n",
              "      <th>CURSO_64</th>\n",
              "      <th>CURSO_65</th>\n",
              "      <th>CURSO_101</th>\n",
              "      <th>CURSO_102</th>\n",
              "      <th>CURSO_194</th>\n",
              "      <th>CURSO_195</th>\n",
              "      <th>CURSO_201</th>\n",
              "      <th>CURSO_221</th>\n",
              "      <th>CURSO_222</th>\n",
              "      <th>CURSO_241</th>\n",
              "      <th>CURSO_242</th>\n",
              "      <th>CURSO_243</th>\n",
              "      <th>CURSO_244</th>\n",
              "      <th>CURSO_245</th>\n",
              "      <th>CURSO_261</th>\n",
              "      <th>CURSO_262</th>\n",
              "      <th>CURSO_263</th>\n",
              "      <th>CURSO_264</th>\n",
              "      <th>CURSO_282</th>\n",
              "      <th>CURSO_286</th>\n",
              "      <th>CURSO_287</th>\n",
              "      <th>CURSO_288</th>\n",
              "      <th>CURSO_302</th>\n",
              "      <th>CURSO_322</th>\n",
              "      <th>CURSO_342</th>\n",
              "      <th>CURSO_343</th>\n",
              "      <th>CURSO_362</th>\n",
              "      <th>CURSO_382</th>\n",
              "      <th>CURSO_402</th>\n",
              "      <th>CURSO_403</th>\n",
              "      <th>CURSO_422</th>\n",
              "      <th>CURSO_462</th>\n",
              "      <th>CURSO_502</th>\n",
              "      <th>CURSO_522</th>\n",
              "      <th>CURSO_523</th>\n",
              "      <th>CURSO_562</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>605.8</td>\n",
              "      <td>743.4</td>\n",
              "      <td>706.6</td>\n",
              "      <td>840.1</td>\n",
              "      <td>960.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>2013</td>\n",
              "      <td>1</td>\n",
              "      <td>2018</td>\n",
              "      <td>1</td>\n",
              "      <td>24</td>\n",
              "      <td>JARDIM ICARAÍ</td>\n",
              "      <td>24220330</td>\n",
              "      <td>NITERÓI</td>\n",
              "      <td>0</td>\n",
              "      <td>SOLTEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>6</td>\n",
              "      <td>M</td>\n",
              "      <td>FORMADO</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>636.2</td>\n",
              "      <td>654.1</td>\n",
              "      <td>617.2</td>\n",
              "      <td>760.0</td>\n",
              "      <td>720.0</td>\n",
              "      <td>8.8</td>\n",
              "      <td>2013</td>\n",
              "      <td>1</td>\n",
              "      <td>2017</td>\n",
              "      <td>2</td>\n",
              "      <td>24</td>\n",
              "      <td>BELA VISTA</td>\n",
              "      <td>28623</td>\n",
              "      <td>NOVA FRIBURGO</td>\n",
              "      <td>0</td>\n",
              "      <td>SOLTEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>5</td>\n",
              "      <td>F</td>\n",
              "      <td>FORMADO</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
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              "      <td>0</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
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              "      <td>0</td>\n",
              "      <td>1</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>559.1</td>\n",
              "      <td>568.1</td>\n",
              "      <td>522.0</td>\n",
              "      <td>587.7</td>\n",
              "      <td>700.0</td>\n",
              "      <td>7.2</td>\n",
              "      <td>2013</td>\n",
              "      <td>2</td>\n",
              "      <td>2018</td>\n",
              "      <td>1</td>\n",
              "      <td>24</td>\n",
              "      <td>CAXITO</td>\n",
              "      <td>21545160</td>\n",
              "      <td>RIO DE JANEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>SOLTEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>6</td>\n",
              "      <td>F</td>\n",
              "      <td>FORMADO</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>637.8</td>\n",
              "      <td>618.8</td>\n",
              "      <td>603.2</td>\n",
              "      <td>704.7</td>\n",
              "      <td>760.0</td>\n",
              "      <td>7.7</td>\n",
              "      <td>2013</td>\n",
              "      <td>2</td>\n",
              "      <td>2017</td>\n",
              "      <td>2</td>\n",
              "      <td>25</td>\n",
              "      <td>TIJUCA</td>\n",
              "      <td>20511400</td>\n",
              "      <td>RIO DE JANEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>SOLTEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>5</td>\n",
              "      <td>F</td>\n",
              "      <td>FORMADO</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>674.1</td>\n",
              "      <td>680.5</td>\n",
              "      <td>719.1</td>\n",
              "      <td>820.0</td>\n",
              "      <td>760.0</td>\n",
              "      <td>8.6</td>\n",
              "      <td>2012</td>\n",
              "      <td>2</td>\n",
              "      <td>2018</td>\n",
              "      <td>1</td>\n",
              "      <td>29</td>\n",
              "      <td>TIJUCA</td>\n",
              "      <td>20520053</td>\n",
              "      <td>RIO DE JANEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>SOLTEIRO</td>\n",
              "      <td>1</td>\n",
              "      <td>7</td>\n",
              "      <td>F</td>\n",
              "      <td>FORMADO</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>248229</th>\n",
              "      <td>620.4</td>\n",
              "      <td>551.2</td>\n",
              "      <td>525.9</td>\n",
              "      <td>463.1</td>\n",
              "      <td>500.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2012</td>\n",
              "      <td>1</td>\n",
              "      <td>2014</td>\n",
              "      <td>2</td>\n",
              "      <td>67</td>\n",
              "      <td>SÃO MIGUEL</td>\n",
              "      <td>24445000</td>\n",
              "      <td>SÃO GONÇALO</td>\n",
              "      <td>0</td>\n",
              "      <td>SOLTEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>M</td>\n",
              "      <td>EVADIDO</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>248327</th>\n",
              "      <td>653.6</td>\n",
              "      <td>602.1</td>\n",
              "      <td>537.2</td>\n",
              "      <td>689.8</td>\n",
              "      <td>680.0</td>\n",
              "      <td>9.5</td>\n",
              "      <td>2012</td>\n",
              "      <td>1</td>\n",
              "      <td>2012</td>\n",
              "      <td>1</td>\n",
              "      <td>24</td>\n",
              "      <td>NÃO DECLARADO</td>\n",
              "      <td>NÃO DECLARADO</td>\n",
              "      <td>RIO DE JANEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>SOLTEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>M</td>\n",
              "      <td>EVADIDO</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>248693</th>\n",
              "      <td>440.3</td>\n",
              "      <td>389.5</td>\n",
              "      <td>321.0</td>\n",
              "      <td>421.3</td>\n",
              "      <td>600.0</td>\n",
              "      <td>6.5</td>\n",
              "      <td>2012</td>\n",
              "      <td>2</td>\n",
              "      <td>2015</td>\n",
              "      <td>1</td>\n",
              "      <td>27</td>\n",
              "      <td>PARQUE BRASÍLIA</td>\n",
              "      <td>28055230</td>\n",
              "      <td>CAMPOS DOS GOYTACAZES</td>\n",
              "      <td>0</td>\n",
              "      <td>SOLTEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>4</td>\n",
              "      <td>M</td>\n",
              "      <td>EVADIDO</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>253408</th>\n",
              "      <td>595.3</td>\n",
              "      <td>629.9</td>\n",
              "      <td>591.5</td>\n",
              "      <td>659.4</td>\n",
              "      <td>580.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2013</td>\n",
              "      <td>2</td>\n",
              "      <td>2013</td>\n",
              "      <td>2</td>\n",
              "      <td>57</td>\n",
              "      <td>FONSECA</td>\n",
              "      <td>24120070</td>\n",
              "      <td>NITERÓI</td>\n",
              "      <td>0</td>\n",
              "      <td>SOLTEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>M</td>\n",
              "      <td>EVADIDO</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>255722</th>\n",
              "      <td>659.2</td>\n",
              "      <td>698.0</td>\n",
              "      <td>512.5</td>\n",
              "      <td>704.7</td>\n",
              "      <td>680.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2013</td>\n",
              "      <td>2</td>\n",
              "      <td>2013</td>\n",
              "      <td>2</td>\n",
              "      <td>33</td>\n",
              "      <td>COLUBANDÊ</td>\n",
              "      <td>24451045</td>\n",
              "      <td>SÃO GONÇALO</td>\n",
              "      <td>0</td>\n",
              "      <td>SOLTEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>M</td>\n",
              "      <td>EVADIDO</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>8441 rows × 126 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "        ENEMLINGUAGEM  ENEMHUMANAS  ...  CURSO_523  CURSO_562\n",
              "0               605.8        743.4  ...          0          0\n",
              "2               636.2        654.1  ...          0          0\n",
              "3               559.1        568.1  ...          0          0\n",
              "7               637.8        618.8  ...          0          0\n",
              "8               674.1        680.5  ...          0          0\n",
              "...               ...          ...  ...        ...        ...\n",
              "248229          620.4        551.2  ...          0          0\n",
              "248327          653.6        602.1  ...          0          0\n",
              "248693          440.3        389.5  ...          0          0\n",
              "253408          595.3        629.9  ...          0          0\n",
              "255722          659.2        698.0  ...          0          0\n",
              "\n",
              "[8441 rows x 126 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 29
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "mMlPsyLhTkuC",
        "colab": {}
      },
      "source": [
        "allClasses = dataUnique['STATUSFORMACAO'].values\n",
        "allFeatures = dataUnique.drop(columns=['STATUSFORMACAO'], axis=1)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "BhldkGe_TkuE",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 359
        },
        "outputId": "35c5ae48-122e-49ba-bc4a-bff943648f5a"
      },
      "source": [
        "allFeatures.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>ENEMLINGUAGEM</th>\n",
              "      <th>ENEMHUMANAS</th>\n",
              "      <th>ENEMNATURAIS</th>\n",
              "      <th>ENEMMATEMATICA</th>\n",
              "      <th>ENEMREDACAO</th>\n",
              "      <th>CR</th>\n",
              "      <th>ANOINGRESSO</th>\n",
              "      <th>SEMESTREINGRESSO</th>\n",
              "      <th>ANODESVINCULACAO</th>\n",
              "      <th>SEMESTREDESVINCULACAO</th>\n",
              "      <th>IDADE</th>\n",
              "      <th>BAIRRO</th>\n",
              "      <th>CEP</th>\n",
              "      <th>CIDADE</th>\n",
              "      <th>MOBILIDADE</th>\n",
              "      <th>ESTADOCIVIL</th>\n",
              "      <th>TRANCAMENTOS</th>\n",
              "      <th>TEMPOPERMANENCIA</th>\n",
              "      <th>SEXO</th>\n",
              "      <th>ACAOAFIRMATIVA_AC</th>\n",
              "      <th>ACAOAFIRMATIVA_L1</th>\n",
              "      <th>ACAOAFIRMATIVA_L2</th>\n",
              "      <th>ACAOAFIRMATIVA_L3</th>\n",
              "      <th>ACAOAFIRMATIVA_L4</th>\n",
              "      <th>TURNOATUAL_MATUTINO</th>\n",
              "      <th>TURNOATUAL_NOTURNO</th>\n",
              "      <th>TURNOATUAL_VESPERTINO</th>\n",
              "      <th>COR_BRANCA</th>\n",
              "      <th>COR_INDÍGENA</th>\n",
              "      <th>COR_NEGRA</th>\n",
              "      <th>COR_NÃO DECLARADO</th>\n",
              "      <th>COR_PARDA</th>\n",
              "      <th>CURSO_2</th>\n",
              "      <th>CURSO_3</th>\n",
              "      <th>CURSO_4</th>\n",
              "      <th>CURSO_5</th>\n",
              "      <th>CURSO_6</th>\n",
              "      <th>CURSO_7</th>\n",
              "      <th>CURSO_9</th>\n",
              "      <th>CURSO_10</th>\n",
              "      <th>...</th>\n",
              "      <th>CURSO_60</th>\n",
              "      <th>CURSO_61</th>\n",
              "      <th>CURSO_62</th>\n",
              "      <th>CURSO_63</th>\n",
              "      <th>CURSO_64</th>\n",
              "      <th>CURSO_65</th>\n",
              "      <th>CURSO_101</th>\n",
              "      <th>CURSO_102</th>\n",
              "      <th>CURSO_194</th>\n",
              "      <th>CURSO_195</th>\n",
              "      <th>CURSO_201</th>\n",
              "      <th>CURSO_221</th>\n",
              "      <th>CURSO_222</th>\n",
              "      <th>CURSO_241</th>\n",
              "      <th>CURSO_242</th>\n",
              "      <th>CURSO_243</th>\n",
              "      <th>CURSO_244</th>\n",
              "      <th>CURSO_245</th>\n",
              "      <th>CURSO_261</th>\n",
              "      <th>CURSO_262</th>\n",
              "      <th>CURSO_263</th>\n",
              "      <th>CURSO_264</th>\n",
              "      <th>CURSO_282</th>\n",
              "      <th>CURSO_286</th>\n",
              "      <th>CURSO_287</th>\n",
              "      <th>CURSO_288</th>\n",
              "      <th>CURSO_302</th>\n",
              "      <th>CURSO_322</th>\n",
              "      <th>CURSO_342</th>\n",
              "      <th>CURSO_343</th>\n",
              "      <th>CURSO_362</th>\n",
              "      <th>CURSO_382</th>\n",
              "      <th>CURSO_402</th>\n",
              "      <th>CURSO_403</th>\n",
              "      <th>CURSO_422</th>\n",
              "      <th>CURSO_462</th>\n",
              "      <th>CURSO_502</th>\n",
              "      <th>CURSO_522</th>\n",
              "      <th>CURSO_523</th>\n",
              "      <th>CURSO_562</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>605.8</td>\n",
              "      <td>743.4</td>\n",
              "      <td>706.6</td>\n",
              "      <td>840.1</td>\n",
              "      <td>960.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>2013</td>\n",
              "      <td>1</td>\n",
              "      <td>2018</td>\n",
              "      <td>1</td>\n",
              "      <td>24</td>\n",
              "      <td>JARDIM ICARAÍ</td>\n",
              "      <td>24220330</td>\n",
              "      <td>NITERÓI</td>\n",
              "      <td>0</td>\n",
              "      <td>SOLTEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>6</td>\n",
              "      <td>M</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
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              "      <td>0</td>\n",
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              "      <td>0</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
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              "      <td>0</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>636.2</td>\n",
              "      <td>654.1</td>\n",
              "      <td>617.2</td>\n",
              "      <td>760.0</td>\n",
              "      <td>720.0</td>\n",
              "      <td>8.8</td>\n",
              "      <td>2013</td>\n",
              "      <td>1</td>\n",
              "      <td>2017</td>\n",
              "      <td>2</td>\n",
              "      <td>24</td>\n",
              "      <td>BELA VISTA</td>\n",
              "      <td>28623</td>\n",
              "      <td>NOVA FRIBURGO</td>\n",
              "      <td>0</td>\n",
              "      <td>SOLTEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>5</td>\n",
              "      <td>F</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
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              "      <td>1</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>559.1</td>\n",
              "      <td>568.1</td>\n",
              "      <td>522.0</td>\n",
              "      <td>587.7</td>\n",
              "      <td>700.0</td>\n",
              "      <td>7.2</td>\n",
              "      <td>2013</td>\n",
              "      <td>2</td>\n",
              "      <td>2018</td>\n",
              "      <td>1</td>\n",
              "      <td>24</td>\n",
              "      <td>CAXITO</td>\n",
              "      <td>21545160</td>\n",
              "      <td>RIO DE JANEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>SOLTEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>6</td>\n",
              "      <td>F</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>637.8</td>\n",
              "      <td>618.8</td>\n",
              "      <td>603.2</td>\n",
              "      <td>704.7</td>\n",
              "      <td>760.0</td>\n",
              "      <td>7.7</td>\n",
              "      <td>2013</td>\n",
              "      <td>2</td>\n",
              "      <td>2017</td>\n",
              "      <td>2</td>\n",
              "      <td>25</td>\n",
              "      <td>TIJUCA</td>\n",
              "      <td>20511400</td>\n",
              "      <td>RIO DE JANEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>SOLTEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>5</td>\n",
              "      <td>F</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>674.1</td>\n",
              "      <td>680.5</td>\n",
              "      <td>719.1</td>\n",
              "      <td>820.0</td>\n",
              "      <td>760.0</td>\n",
              "      <td>8.6</td>\n",
              "      <td>2012</td>\n",
              "      <td>2</td>\n",
              "      <td>2018</td>\n",
              "      <td>1</td>\n",
              "      <td>29</td>\n",
              "      <td>TIJUCA</td>\n",
              "      <td>20520053</td>\n",
              "      <td>RIO DE JANEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>SOLTEIRO</td>\n",
              "      <td>1</td>\n",
              "      <td>7</td>\n",
              "      <td>F</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 125 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "   ENEMLINGUAGEM  ENEMHUMANAS  ENEMNATURAIS  ...  CURSO_522  CURSO_523  CURSO_562\n",
              "0          605.8        743.4         706.6  ...          0          0          0\n",
              "2          636.2        654.1         617.2  ...          0          0          0\n",
              "3          559.1        568.1         522.0  ...          0          0          0\n",
              "7          637.8        618.8         603.2  ...          0          0          0\n",
              "8          674.1        680.5         719.1  ...          0          0          0\n",
              "\n",
              "[5 rows x 125 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 31
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "Xbi0dsK7TkuF",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 52
        },
        "outputId": "2f740e90-e6f0-40f8-bff2-68343131baba"
      },
      "source": [
        "allClasses"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array(['FORMADO', 'FORMADO', 'FORMADO', ..., 'EVADIDO', 'EVADIDO',\n",
              "       'EVADIDO'], dtype=object)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 32
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "pdIkPZANJ8a3",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "lbl = LabelEncoder()\n",
        "lbl.fit(list(allClasses))\n",
        "allClasses = lbl.transform(allClasses)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "soK2q5xqKUgb",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "outputId": "3cddd8a7-e671-4392-9d77-9fc6e7a102cd"
      },
      "source": [
        "allClasses"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([1, 1, 1, ..., 0, 0, 0])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 34
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "awHfAO1lTkuI",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 264
        },
        "outputId": "94aa967e-3403-480c-d6fb-976bc139ef17"
      },
      "source": [
        "print(\"Quantidade de Campos NaN no Dataset: \\n\")\n",
        "print(allFeatures.isnull().sum())"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Quantidade de Campos NaN no Dataset: \n",
            "\n",
            "ENEMLINGUAGEM     0\n",
            "ENEMHUMANAS       0\n",
            "ENEMNATURAIS      0\n",
            "ENEMMATEMATICA    0\n",
            "ENEMREDACAO       0\n",
            "                 ..\n",
            "CURSO_462         0\n",
            "CURSO_502         0\n",
            "CURSO_522         0\n",
            "CURSO_523         0\n",
            "CURSO_562         0\n",
            "Length: 125, dtype: int64\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "hBnFy94_I_wF",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "outputId": "22d5e9ac-d76b-42e3-a72d-83c4ccee88bf"
      },
      "source": [
        "len(allFeatures.isnull().sum())"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "125"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 36
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "GRHCE_IvTkuJ",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 264
        },
        "outputId": "0cd62978-b2a1-4acd-ce24-cc94891b2ed8"
      },
      "source": [
        "print(\"Quantidade de Campos NaN no Dataset: \\n\")\n",
        "allFeatures = allFeatures.fillna(1000)\n",
        "print(allFeatures.isnull().sum())"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Quantidade de Campos NaN no Dataset: \n",
            "\n",
            "ENEMLINGUAGEM     0\n",
            "ENEMHUMANAS       0\n",
            "ENEMNATURAIS      0\n",
            "ENEMMATEMATICA    0\n",
            "ENEMREDACAO       0\n",
            "                 ..\n",
            "CURSO_462         0\n",
            "CURSO_502         0\n",
            "CURSO_522         0\n",
            "CURSO_523         0\n",
            "CURSO_562         0\n",
            "Length: 125, dtype: int64\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "l9SEoABlTkuK",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 229
        },
        "outputId": "4ac8a06b-968c-4b3a-8bad-0153eb2b5528"
      },
      "source": [
        "allFeatures.dtypes"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "ENEMLINGUAGEM     float64\n",
              "ENEMHUMANAS       float64\n",
              "ENEMNATURAIS      float64\n",
              "ENEMMATEMATICA    float64\n",
              "ENEMREDACAO       float64\n",
              "                   ...   \n",
              "CURSO_462           uint8\n",
              "CURSO_502           uint8\n",
              "CURSO_522           uint8\n",
              "CURSO_523           uint8\n",
              "CURSO_562           uint8\n",
              "Length: 125, dtype: object"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 38
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "uAKpa4t8TkuL",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 377
        },
        "outputId": "29807bec-f9ee-4729-dc13-fc877919d902"
      },
      "source": [
        "print(allFeatures.shape)\n",
        "allFeatures.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "(8441, 125)\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>ENEMLINGUAGEM</th>\n",
              "      <th>ENEMHUMANAS</th>\n",
              "      <th>ENEMNATURAIS</th>\n",
              "      <th>ENEMMATEMATICA</th>\n",
              "      <th>ENEMREDACAO</th>\n",
              "      <th>CR</th>\n",
              "      <th>ANOINGRESSO</th>\n",
              "      <th>SEMESTREINGRESSO</th>\n",
              "      <th>ANODESVINCULACAO</th>\n",
              "      <th>SEMESTREDESVINCULACAO</th>\n",
              "      <th>IDADE</th>\n",
              "      <th>BAIRRO</th>\n",
              "      <th>CEP</th>\n",
              "      <th>CIDADE</th>\n",
              "      <th>MOBILIDADE</th>\n",
              "      <th>ESTADOCIVIL</th>\n",
              "      <th>TRANCAMENTOS</th>\n",
              "      <th>TEMPOPERMANENCIA</th>\n",
              "      <th>SEXO</th>\n",
              "      <th>ACAOAFIRMATIVA_AC</th>\n",
              "      <th>ACAOAFIRMATIVA_L1</th>\n",
              "      <th>ACAOAFIRMATIVA_L2</th>\n",
              "      <th>ACAOAFIRMATIVA_L3</th>\n",
              "      <th>ACAOAFIRMATIVA_L4</th>\n",
              "      <th>TURNOATUAL_MATUTINO</th>\n",
              "      <th>TURNOATUAL_NOTURNO</th>\n",
              "      <th>TURNOATUAL_VESPERTINO</th>\n",
              "      <th>COR_BRANCA</th>\n",
              "      <th>COR_INDÍGENA</th>\n",
              "      <th>COR_NEGRA</th>\n",
              "      <th>COR_NÃO DECLARADO</th>\n",
              "      <th>COR_PARDA</th>\n",
              "      <th>CURSO_2</th>\n",
              "      <th>CURSO_3</th>\n",
              "      <th>CURSO_4</th>\n",
              "      <th>CURSO_5</th>\n",
              "      <th>CURSO_6</th>\n",
              "      <th>CURSO_7</th>\n",
              "      <th>CURSO_9</th>\n",
              "      <th>CURSO_10</th>\n",
              "      <th>...</th>\n",
              "      <th>CURSO_60</th>\n",
              "      <th>CURSO_61</th>\n",
              "      <th>CURSO_62</th>\n",
              "      <th>CURSO_63</th>\n",
              "      <th>CURSO_64</th>\n",
              "      <th>CURSO_65</th>\n",
              "      <th>CURSO_101</th>\n",
              "      <th>CURSO_102</th>\n",
              "      <th>CURSO_194</th>\n",
              "      <th>CURSO_195</th>\n",
              "      <th>CURSO_201</th>\n",
              "      <th>CURSO_221</th>\n",
              "      <th>CURSO_222</th>\n",
              "      <th>CURSO_241</th>\n",
              "      <th>CURSO_242</th>\n",
              "      <th>CURSO_243</th>\n",
              "      <th>CURSO_244</th>\n",
              "      <th>CURSO_245</th>\n",
              "      <th>CURSO_261</th>\n",
              "      <th>CURSO_262</th>\n",
              "      <th>CURSO_263</th>\n",
              "      <th>CURSO_264</th>\n",
              "      <th>CURSO_282</th>\n",
              "      <th>CURSO_286</th>\n",
              "      <th>CURSO_287</th>\n",
              "      <th>CURSO_288</th>\n",
              "      <th>CURSO_302</th>\n",
              "      <th>CURSO_322</th>\n",
              "      <th>CURSO_342</th>\n",
              "      <th>CURSO_343</th>\n",
              "      <th>CURSO_362</th>\n",
              "      <th>CURSO_382</th>\n",
              "      <th>CURSO_402</th>\n",
              "      <th>CURSO_403</th>\n",
              "      <th>CURSO_422</th>\n",
              "      <th>CURSO_462</th>\n",
              "      <th>CURSO_502</th>\n",
              "      <th>CURSO_522</th>\n",
              "      <th>CURSO_523</th>\n",
              "      <th>CURSO_562</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>605.8</td>\n",
              "      <td>743.4</td>\n",
              "      <td>706.6</td>\n",
              "      <td>840.1</td>\n",
              "      <td>960.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>2013</td>\n",
              "      <td>1</td>\n",
              "      <td>2018</td>\n",
              "      <td>1</td>\n",
              "      <td>24</td>\n",
              "      <td>JARDIM ICARAÍ</td>\n",
              "      <td>24220330</td>\n",
              "      <td>NITERÓI</td>\n",
              "      <td>0</td>\n",
              "      <td>SOLTEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>6</td>\n",
              "      <td>M</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>636.2</td>\n",
              "      <td>654.1</td>\n",
              "      <td>617.2</td>\n",
              "      <td>760.0</td>\n",
              "      <td>720.0</td>\n",
              "      <td>8.8</td>\n",
              "      <td>2013</td>\n",
              "      <td>1</td>\n",
              "      <td>2017</td>\n",
              "      <td>2</td>\n",
              "      <td>24</td>\n",
              "      <td>BELA VISTA</td>\n",
              "      <td>28623</td>\n",
              "      <td>NOVA FRIBURGO</td>\n",
              "      <td>0</td>\n",
              "      <td>SOLTEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>5</td>\n",
              "      <td>F</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>559.1</td>\n",
              "      <td>568.1</td>\n",
              "      <td>522.0</td>\n",
              "      <td>587.7</td>\n",
              "      <td>700.0</td>\n",
              "      <td>7.2</td>\n",
              "      <td>2013</td>\n",
              "      <td>2</td>\n",
              "      <td>2018</td>\n",
              "      <td>1</td>\n",
              "      <td>24</td>\n",
              "      <td>CAXITO</td>\n",
              "      <td>21545160</td>\n",
              "      <td>RIO DE JANEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>SOLTEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>6</td>\n",
              "      <td>F</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>637.8</td>\n",
              "      <td>618.8</td>\n",
              "      <td>603.2</td>\n",
              "      <td>704.7</td>\n",
              "      <td>760.0</td>\n",
              "      <td>7.7</td>\n",
              "      <td>2013</td>\n",
              "      <td>2</td>\n",
              "      <td>2017</td>\n",
              "      <td>2</td>\n",
              "      <td>25</td>\n",
              "      <td>TIJUCA</td>\n",
              "      <td>20511400</td>\n",
              "      <td>RIO DE JANEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>SOLTEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>5</td>\n",
              "      <td>F</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>674.1</td>\n",
              "      <td>680.5</td>\n",
              "      <td>719.1</td>\n",
              "      <td>820.0</td>\n",
              "      <td>760.0</td>\n",
              "      <td>8.6</td>\n",
              "      <td>2012</td>\n",
              "      <td>2</td>\n",
              "      <td>2018</td>\n",
              "      <td>1</td>\n",
              "      <td>29</td>\n",
              "      <td>TIJUCA</td>\n",
              "      <td>20520053</td>\n",
              "      <td>RIO DE JANEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>SOLTEIRO</td>\n",
              "      <td>1</td>\n",
              "      <td>7</td>\n",
              "      <td>F</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 125 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "   ENEMLINGUAGEM  ENEMHUMANAS  ENEMNATURAIS  ...  CURSO_522  CURSO_523  CURSO_562\n",
              "0          605.8        743.4         706.6  ...          0          0          0\n",
              "2          636.2        654.1         617.2  ...          0          0          0\n",
              "3          559.1        568.1         522.0  ...          0          0          0\n",
              "7          637.8        618.8         603.2  ...          0          0          0\n",
              "8          674.1        680.5         719.1  ...          0          0          0\n",
              "\n",
              "[5 rows x 125 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 39
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "BRnkuSHDTkuM"
      },
      "source": [
        "# Form training, test, and validation sets"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "dAN3Fa1cTkuN",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 88
        },
        "outputId": "cf4ebc92-0149-45f6-f1e1-64d66cf076aa"
      },
      "source": [
        "X_treino, X_teste, y_treino, y_teste = train_test_split(allFeatures, allClasses, test_size=0.20, random_state=42)\n",
        "print(X_treino.shape)\n",
        "print(X_teste.shape)\n",
        "print(y_treino.shape)\n",
        "print(y_teste.shape)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "(6752, 125)\n",
            "(1689, 125)\n",
            "(6752,)\n",
            "(1689,)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "4FPdow-tTkuO"
      },
      "source": [
        "# First, we will apply logistic regression using all the features to acquire a baseline accuracy"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "GD4fP7e4TkuP",
        "colab": {}
      },
      "source": [
        "individual = [1 for i in range(len(allFeatures))]\n",
        "testAccuracyAll = getFitnessMLT(individual, X_treino, X_teste, y_treino, y_teste)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "ZiAa6VxQiKmm",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 141
        },
        "outputId": "f10d782c-ad89-4f60-bc5c-1be39fc5984a"
      },
      "source": [
        "allFeatures.columns"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['ENEMLINGUAGEM', 'ENEMHUMANAS', 'ENEMNATURAIS', 'ENEMMATEMATICA',\n",
              "       'ENEMREDACAO', 'CR', 'ANOINGRESSO', 'SEMESTREINGRESSO',\n",
              "       'ANODESVINCULACAO', 'SEMESTREDESVINCULACAO',\n",
              "       ...\n",
              "       'CURSO_362', 'CURSO_382', 'CURSO_402', 'CURSO_403', 'CURSO_422',\n",
              "       'CURSO_462', 'CURSO_502', 'CURSO_522', 'CURSO_523', 'CURSO_562'],\n",
              "      dtype='object', length=125)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 42
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "Na-RUeS6TkuP",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "outputId": "ddd42459-aca0-4063-801f-699dacb41c49"
      },
      "source": [
        "print('Test accuracy with all features: \\t' + str(testAccuracyAll[0]))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Test accuracy with all features: \t0.8884792626728112\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "GXuhYsJ6TkuR"
      },
      "source": [
        "# Constructing a Model for Genetic Programing with DEAP Framework"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "FdBMai_kTkuR",
        "colab": {}
      },
      "source": [
        "# Create Individual\n",
        "creator.create(\"FitnessMax\", base.Fitness, weights=(1.0,))\n",
        "creator.create(\"Individual\", list, fitness=creator.FitnessMax)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "Go0LhQs4TkuS",
        "colab": {}
      },
      "source": [
        "# Create Toolbox\n",
        "toolbox = base.Toolbox()\n",
        "toolbox.register(\"attr_bool\", rdm.randint, 0, 1)\n",
        "toolbox.register(\"individual\", tools.initRepeat, creator.Individual, toolbox.attr_bool, len(allFeatures.columns) - 1)\n",
        "toolbox.register(\"population\", tools.initRepeat, list, toolbox.individual)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "2u65n_UwTkuS",
        "colab": {}
      },
      "source": [
        "# Defining operators into an toolbox\n",
        "toolbox.register(\"evaluate\", getFitnessMLT, X_train=X_treino, X_test=X_teste, y_train=y_treino, y_test=y_teste)\n",
        "toolbox.register(\"mate\", tools.cxOnePoint)\n",
        "toolbox.register(\"mutate\", tools.mutFlipBit, indpb=0.05)\n",
        "toolbox.register(\"select\", tools.selTournament, tournsize=3)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "Zht-7YcxTkuT"
      },
      "source": [
        "# Now, we will apply a genetic algorithm to choose the best generations of individuals that had a better accuracy than the baseline"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "i1XZrvJBg5dh",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 246
        },
        "outputId": "1f0c2c63-e697-4596-8e7c-0ecd072b4670"
      },
      "source": [
        "start_time = time.time()\n",
        "hof, pop, log = getHof()\n",
        "print(\"--- %s seconds ---\" % (time.time() - start_time))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "gen\tnevals\tavg     \tstd     \tmin     \tmax     \n",
            "0  \t100   \t0.734614\t0.157856\t0.383616\t0.907579\n",
            "1  \t63    \t0.852368\t0.0707529\t0.549533\t0.907579\n",
            "2  \t59    \t0.884289\t0.0306138\t0.617174\t0.910407\n",
            "3  \t57    \t0.890704\t0.0250878\t0.688827\t0.909589\n",
            "4  \t54    \t0.89885 \t0.0103203\t0.822222\t0.909589\n",
            "5  \t54    \t0.899636\t0.0222327\t0.690346\t0.91439 \n",
            "6  \t68    \t0.900925\t0.0235114\t0.673973\t0.916211\n",
            "7  \t62    \t0.895921\t0.0419155\t0.671004\t0.918182\n",
            "8  \t65    \t0.905355\t0.0225559\t0.693213\t0.918182\n",
            "9  \t53    \t0.907069\t0.022843 \t0.689844\t0.918182\n",
            "10 \t61    \t0.906655\t0.0245665\t0.695652\t0.918182\n",
            "--- 299.0313892364502 seconds ---\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "xVyPzg0ETkuW",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "outputId": "c29c689b-2838-4013-b349-c544229e60eb"
      },
      "source": [
        "len(hof.items)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "647"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 48
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "ch99h1DfTkuX",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "outputId": "48d6084c-8a03-4453-cc57-9328bcc90160"
      },
      "source": [
        "# Obtaining all metrics of Hall of Fame\n",
        "start_time = time.time()\n",
        "testAccList, validAccList, individualList = getMetrics(hof)\n",
        "print(\"--- %s seconds ---\" % (time.time() - start_time))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "--- 277.2297661304474 seconds ---\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "ZYTXt_w1TkuY"
      },
      "source": [
        "# Get ranking of the Best Individuals"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "Epgztf7STkuY",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "outputId": "89a961bc-e645-426f-a866-bf0f68419a76"
      },
      "source": [
        "start_time = time.time()\n",
        "bestIndividualRanking, validAccRanking, testAccRanking = getBestRanking(testAccList, validAccList, individualList)\n",
        "print(\"--- %s seconds ---\" % (time.time() - start_time))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "--- 0.0020058155059814453 seconds ---\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "MbBvsETjTkuZ"
      },
      "source": [
        "# Get a list of best performance of Feature Selection"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "G5o6Qp3JTkuZ",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 284
        },
        "outputId": "167c1e6d-ec92-41e8-da28-3bc68834ed62"
      },
      "source": [
        "start_time = time.time()\n",
        "featureNotSelected = getWorseFeatures(validAccRanking)\n",
        "print(\"--- %s seconds ---\" % (time.time() - start_time))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "\n",
            "Validation Accuracy with AF: \t\t0.851024208566108\n",
            "Validation Accuracy with FS: \t\t0.919164396003633\n",
            "Best Individual: \t\t\t[1, 0, 1, 0, 1, 1, 1, 1, 1, 1, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 0, 0, 1, 1, 1, 1, 0, 1, 1, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 0, 1, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 1, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1]\n",
            "Number of Selected Features: \t\t74\n",
            "Number of Not Selected Features: \t50\n",
            "\n",
            "Set of Selected Features:\n",
            "['ENEMLINGUAGEM', 'ENEMNATURAIS', 'ENEMREDACAO', 'CR', 'ANOINGRESSO', 'SEMESTREINGRESSO', 'ANODESVINCULACAO', 'SEMESTREDESVINCULACAO', 'BAIRRO', 'TRANCAMENTOS', 'SEXO', 'ACAOAFIRMATIVA_AC', 'ACAOAFIRMATIVA_L1', 'TURNOATUAL_NOTURNO', 'COR_BRANCA', 'COR_INDÍGENA', 'COR_NÃO DECLARADO', 'COR_PARDA', 'CURSO_2', 'CURSO_5', 'CURSO_6', 'CURSO_7', 'CURSO_9', 'CURSO_15', 'CURSO_16', 'CURSO_17', 'CURSO_18', 'CURSO_21', 'CURSO_22', 'CURSO_23', 'CURSO_24', 'CURSO_26', 'CURSO_28', 'CURSO_30', 'CURSO_31', 'CURSO_32', 'CURSO_33', 'CURSO_35', 'CURSO_36', 'CURSO_37', 'CURSO_39', 'CURSO_40', 'CURSO_41', 'CURSO_42', 'CURSO_43', 'CURSO_44', 'CURSO_45', 'CURSO_46', 'CURSO_47', 'CURSO_48', 'CURSO_50', 'CURSO_51', 'CURSO_53', 'CURSO_59', 'CURSO_60', 'CURSO_61', 'CURSO_62', 'CURSO_65', 'CURSO_102', 'CURSO_194', 'CURSO_195', 'CURSO_244', 'CURSO_245', 'CURSO_262', 'CURSO_263', 'CURSO_264', 'CURSO_322', 'CURSO_342', 'CURSO_362', 'CURSO_382', 'CURSO_403', 'CURSO_502', 'CURSO_522', 'CURSO_523']\n",
            "\n",
            "Set of UnSelected Features:\n",
            "['ENEMHUMANAS', 'ENEMMATEMATICA', 'IDADE', 'CEP', 'CIDADE', 'MOBILIDADE', 'ESTADOCIVIL', 'TEMPOPERMANENCIA', 'ACAOAFIRMATIVA_L2', 'ACAOAFIRMATIVA_L3', 'ACAOAFIRMATIVA_L4', 'TURNOATUAL_MATUTINO', 'TURNOATUAL_VESPERTINO', 'COR_NEGRA', 'CURSO_3', 'CURSO_4', 'CURSO_10', 'CURSO_14', 'CURSO_20', 'CURSO_25', 'CURSO_27', 'CURSO_29', 'CURSO_34', 'CURSO_38', 'CURSO_49', 'CURSO_52', 'CURSO_54', 'CURSO_55', 'CURSO_56', 'CURSO_57', 'CURSO_58', 'CURSO_63', 'CURSO_64', 'CURSO_101', 'CURSO_201', 'CURSO_221', 'CURSO_222', 'CURSO_241', 'CURSO_242', 'CURSO_243', 'CURSO_261', 'CURSO_282', 'CURSO_286', 'CURSO_287', 'CURSO_288', 'CURSO_302', 'CURSO_343', 'CURSO_402', 'CURSO_422', 'CURSO_462']\n",
            "\n",
            "--- 0.014646530151367188 seconds ---\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "zq0O16hUTkua"
      },
      "source": [
        "# Comparasion between Approaches: EduvolutionML vs Sklearn RCFV"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "J5uYDfqYTkua",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 532
        },
        "outputId": "fd3f17c0-aaee-4f03-cbb9-450ca30a5890"
      },
      "source": [
        "getOptimalNumberFeatures(allFeatures, allClasses)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Optimal number of features : 2\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
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\n",
            "text/plain": [
              "<Figure size 1296x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(2,)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 52
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "cOJFnvJRTkub"
      },
      "source": [
        "# Calculate best fit line for validation classification accuracy (non-linear)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "oZoCf1dPTkub",
        "colab": {}
      },
      "source": [
        "percentileList = percentHof(hof)\n",
        "curva = interpolate.splrep(percentileList, validAccList, s=5.0)\n",
        "evaluate = interpolate.splev(percentileList, curva)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "jBcAUIT0Tkuc",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 497
        },
        "outputId": "21d36395-7373-4757-e1eb-6add6b2b81b5"
      },
      "source": [
        "plb.figure(figsize=(10,8))\n",
        "plb.figure(1)\n",
        "plb.plot(percentileList, validAccList, marker='o', color='r')\n",
        "plb.xlabel('População', fontsize=11, fontweight='bold')\n",
        "plb.ylabel('F-Score', fontsize=11, fontweight='bold')\n",
        "plb.savefig('Graficos/ga-validacao.pdf')\n",
        "plb.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "bRzpGMUFi_tb",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 497
        },
        "outputId": "eb955313-fc0e-4ade-ec25-094b454bd123"
      },
      "source": [
        "plb.figure(figsize=(10,8))\n",
        "plb.figure(1)\n",
        "plb.plot(percentileList, validAccList, marker='o', color='r')\n",
        "plb.plot(percentileList, evaluate, color='b')\n",
        "plb.xlabel('População', fontsize=11, fontweight='bold')\n",
        "plb.ylabel('F-Score', fontsize=11, fontweight='bold')\n",
        "plb.savefig('Graficos/ga-validacao.pdf')\n",
        "plb.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "FvfA3mB5Tkud",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 497
        },
        "outputId": "8322eb27-0189-40df-f156-9bf17852ef70"
      },
      "source": [
        "plb.figure(figsize=(10,8))\n",
        "plb.figure(1)\n",
        "plb.scatter(percentileList, testAccList)\n",
        "plb.xlabel('População', fontsize=11, fontweight='bold')\n",
        "plb.ylabel('F-Score', fontsize=11, fontweight='bold')\n",
        "plb.savefig('Graficos/ga-teste.pdf')\n",
        "plb.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "8cqaFE82jXZa",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 497
        },
        "outputId": "e1c1b99d-ad9d-47f2-a904-fd3eb2b6fd64"
      },
      "source": [
        "plb.figure(figsize=(10,8))\n",
        "plb.figure(1)\n",
        "plb.scatter(percentileList, testAccList)\n",
        "plb.plot(percentileList, evaluate, color='r')\n",
        "#plb.title('Validation Set Classification Accuracy vs. Continuum')\n",
        "#plb.xlabel('Population Ordered By Increasing Validation Set Accuracy')\n",
        "#plb.ylabel('Test Set Accuracy')\n",
        "plb.xlabel('População', fontsize=11, fontweight='bold')\n",
        "plb.ylabel('F-Score', fontsize=11, fontweight='bold')\n",
        "plb.savefig('Graficos/ga-teste.pdf')\n",
        "plb.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "TTSQwX7NTkue"
      },
      "source": [
        "# Building a Decision Tree Model with Feature Selection"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "3I_8MV30Tkue",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 261
        },
        "outputId": "f3db2478-2d1e-486a-f40f-5b3defef0293"
      },
      "source": [
        "features = allFeatures.drop(columns=featureNotSelected)\n",
        "print(features.shape)\n",
        "features.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "(8441, 75)\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>ENEMLINGUAGEM</th>\n",
              "      <th>ENEMNATURAIS</th>\n",
              "      <th>ENEMREDACAO</th>\n",
              "      <th>CR</th>\n",
              "      <th>ANOINGRESSO</th>\n",
              "      <th>SEMESTREINGRESSO</th>\n",
              "      <th>ANODESVINCULACAO</th>\n",
              "      <th>SEMESTREDESVINCULACAO</th>\n",
              "      <th>BAIRRO</th>\n",
              "      <th>TRANCAMENTOS</th>\n",
              "      <th>SEXO</th>\n",
              "      <th>ACAOAFIRMATIVA_AC</th>\n",
              "      <th>ACAOAFIRMATIVA_L1</th>\n",
              "      <th>TURNOATUAL_NOTURNO</th>\n",
              "      <th>COR_BRANCA</th>\n",
              "      <th>COR_INDÍGENA</th>\n",
              "      <th>COR_NÃO DECLARADO</th>\n",
              "      <th>COR_PARDA</th>\n",
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              "      <th>CURSO_5</th>\n",
              "      <th>CURSO_6</th>\n",
              "      <th>CURSO_7</th>\n",
              "      <th>CURSO_9</th>\n",
              "      <th>CURSO_15</th>\n",
              "      <th>CURSO_16</th>\n",
              "      <th>CURSO_17</th>\n",
              "      <th>CURSO_18</th>\n",
              "      <th>CURSO_21</th>\n",
              "      <th>CURSO_22</th>\n",
              "      <th>CURSO_23</th>\n",
              "      <th>CURSO_24</th>\n",
              "      <th>CURSO_26</th>\n",
              "      <th>CURSO_28</th>\n",
              "      <th>CURSO_30</th>\n",
              "      <th>CURSO_31</th>\n",
              "      <th>CURSO_32</th>\n",
              "      <th>CURSO_33</th>\n",
              "      <th>CURSO_35</th>\n",
              "      <th>CURSO_36</th>\n",
              "      <th>CURSO_37</th>\n",
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              "      <th>CURSO_42</th>\n",
              "      <th>CURSO_43</th>\n",
              "      <th>CURSO_44</th>\n",
              "      <th>CURSO_45</th>\n",
              "      <th>CURSO_46</th>\n",
              "      <th>CURSO_47</th>\n",
              "      <th>CURSO_48</th>\n",
              "      <th>CURSO_50</th>\n",
              "      <th>CURSO_51</th>\n",
              "      <th>CURSO_53</th>\n",
              "      <th>CURSO_59</th>\n",
              "      <th>CURSO_60</th>\n",
              "      <th>CURSO_61</th>\n",
              "      <th>CURSO_62</th>\n",
              "      <th>CURSO_65</th>\n",
              "      <th>CURSO_102</th>\n",
              "      <th>CURSO_194</th>\n",
              "      <th>CURSO_195</th>\n",
              "      <th>CURSO_244</th>\n",
              "      <th>CURSO_245</th>\n",
              "      <th>CURSO_262</th>\n",
              "      <th>CURSO_263</th>\n",
              "      <th>CURSO_264</th>\n",
              "      <th>CURSO_322</th>\n",
              "      <th>CURSO_342</th>\n",
              "      <th>CURSO_362</th>\n",
              "      <th>CURSO_382</th>\n",
              "      <th>CURSO_403</th>\n",
              "      <th>CURSO_502</th>\n",
              "      <th>CURSO_522</th>\n",
              "      <th>CURSO_523</th>\n",
              "      <th>CURSO_562</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>605.8</td>\n",
              "      <td>706.6</td>\n",
              "      <td>960.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>2013</td>\n",
              "      <td>1</td>\n",
              "      <td>2018</td>\n",
              "      <td>1</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
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              "      <td>0</td>\n",
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              "      <td>0</td>\n",
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              "      <td>0</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>636.2</td>\n",
              "      <td>617.2</td>\n",
              "      <td>720.0</td>\n",
              "      <td>8.8</td>\n",
              "      <td>2013</td>\n",
              "      <td>1</td>\n",
              "      <td>2017</td>\n",
              "      <td>2</td>\n",
              "      <td>144</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>559.1</td>\n",
              "      <td>522.0</td>\n",
              "      <td>700.0</td>\n",
              "      <td>7.2</td>\n",
              "      <td>2013</td>\n",
              "      <td>2</td>\n",
              "      <td>2018</td>\n",
              "      <td>1</td>\n",
              "      <td>280</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>637.8</td>\n",
              "      <td>603.2</td>\n",
              "      <td>760.0</td>\n",
              "      <td>7.7</td>\n",
              "      <td>2013</td>\n",
              "      <td>2</td>\n",
              "      <td>2017</td>\n",
              "      <td>2</td>\n",
              "      <td>1546</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>674.1</td>\n",
              "      <td>719.1</td>\n",
              "      <td>760.0</td>\n",
              "      <td>8.6</td>\n",
              "      <td>2012</td>\n",
              "      <td>2</td>\n",
              "      <td>2018</td>\n",
              "      <td>1</td>\n",
              "      <td>1546</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   ENEMLINGUAGEM  ENEMNATURAIS  ENEMREDACAO  ...  CURSO_522  CURSO_523  CURSO_562\n",
              "0          605.8         706.6        960.0  ...          0          0          0\n",
              "2          636.2         617.2        720.0  ...          0          0          0\n",
              "3          559.1         522.0        700.0  ...          0          0          0\n",
              "7          637.8         603.2        760.0  ...          0          0          0\n",
              "8          674.1         719.1        760.0  ...          0          0          0\n",
              "\n",
              "[5 rows x 75 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 58
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "dwh2hPu-YcGJ",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 261
        },
        "outputId": "7b9c7244-4362-4d32-c285-80e5cafdac34"
      },
      "source": [
        "dfFeature = features.copy()\n",
        "print(dfFeature.shape)\n",
        "dfFeature.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "(8441, 75)\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>ENEMLINGUAGEM</th>\n",
              "      <th>ENEMNATURAIS</th>\n",
              "      <th>ENEMREDACAO</th>\n",
              "      <th>CR</th>\n",
              "      <th>ANOINGRESSO</th>\n",
              "      <th>SEMESTREINGRESSO</th>\n",
              "      <th>ANODESVINCULACAO</th>\n",
              "      <th>SEMESTREDESVINCULACAO</th>\n",
              "      <th>BAIRRO</th>\n",
              "      <th>TRANCAMENTOS</th>\n",
              "      <th>SEXO</th>\n",
              "      <th>ACAOAFIRMATIVA_AC</th>\n",
              "      <th>ACAOAFIRMATIVA_L1</th>\n",
              "      <th>TURNOATUAL_NOTURNO</th>\n",
              "      <th>COR_BRANCA</th>\n",
              "      <th>COR_INDÍGENA</th>\n",
              "      <th>COR_NÃO DECLARADO</th>\n",
              "      <th>COR_PARDA</th>\n",
              "      <th>CURSO_2</th>\n",
              "      <th>CURSO_5</th>\n",
              "      <th>CURSO_6</th>\n",
              "      <th>CURSO_7</th>\n",
              "      <th>CURSO_9</th>\n",
              "      <th>CURSO_15</th>\n",
              "      <th>CURSO_16</th>\n",
              "      <th>CURSO_17</th>\n",
              "      <th>CURSO_18</th>\n",
              "      <th>CURSO_21</th>\n",
              "      <th>CURSO_22</th>\n",
              "      <th>CURSO_23</th>\n",
              "      <th>CURSO_24</th>\n",
              "      <th>CURSO_26</th>\n",
              "      <th>CURSO_28</th>\n",
              "      <th>CURSO_30</th>\n",
              "      <th>CURSO_31</th>\n",
              "      <th>CURSO_32</th>\n",
              "      <th>CURSO_33</th>\n",
              "      <th>CURSO_35</th>\n",
              "      <th>CURSO_36</th>\n",
              "      <th>CURSO_37</th>\n",
              "      <th>CURSO_39</th>\n",
              "      <th>CURSO_40</th>\n",
              "      <th>CURSO_41</th>\n",
              "      <th>CURSO_42</th>\n",
              "      <th>CURSO_43</th>\n",
              "      <th>CURSO_44</th>\n",
              "      <th>CURSO_45</th>\n",
              "      <th>CURSO_46</th>\n",
              "      <th>CURSO_47</th>\n",
              "      <th>CURSO_48</th>\n",
              "      <th>CURSO_50</th>\n",
              "      <th>CURSO_51</th>\n",
              "      <th>CURSO_53</th>\n",
              "      <th>CURSO_59</th>\n",
              "      <th>CURSO_60</th>\n",
              "      <th>CURSO_61</th>\n",
              "      <th>CURSO_62</th>\n",
              "      <th>CURSO_65</th>\n",
              "      <th>CURSO_102</th>\n",
              "      <th>CURSO_194</th>\n",
              "      <th>CURSO_195</th>\n",
              "      <th>CURSO_244</th>\n",
              "      <th>CURSO_245</th>\n",
              "      <th>CURSO_262</th>\n",
              "      <th>CURSO_263</th>\n",
              "      <th>CURSO_264</th>\n",
              "      <th>CURSO_322</th>\n",
              "      <th>CURSO_342</th>\n",
              "      <th>CURSO_362</th>\n",
              "      <th>CURSO_382</th>\n",
              "      <th>CURSO_403</th>\n",
              "      <th>CURSO_502</th>\n",
              "      <th>CURSO_522</th>\n",
              "      <th>CURSO_523</th>\n",
              "      <th>CURSO_562</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>605.8</td>\n",
              "      <td>706.6</td>\n",
              "      <td>960.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>2013</td>\n",
              "      <td>1</td>\n",
              "      <td>2018</td>\n",
              "      <td>1</td>\n",
              "      <td>691</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>636.2</td>\n",
              "      <td>617.2</td>\n",
              "      <td>720.0</td>\n",
              "      <td>8.8</td>\n",
              "      <td>2013</td>\n",
              "      <td>1</td>\n",
              "      <td>2017</td>\n",
              "      <td>2</td>\n",
              "      <td>144</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>559.1</td>\n",
              "      <td>522.0</td>\n",
              "      <td>700.0</td>\n",
              "      <td>7.2</td>\n",
              "      <td>2013</td>\n",
              "      <td>2</td>\n",
              "      <td>2018</td>\n",
              "      <td>1</td>\n",
              "      <td>280</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>637.8</td>\n",
              "      <td>603.2</td>\n",
              "      <td>760.0</td>\n",
              "      <td>7.7</td>\n",
              "      <td>2013</td>\n",
              "      <td>2</td>\n",
              "      <td>2017</td>\n",
              "      <td>2</td>\n",
              "      <td>1546</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>674.1</td>\n",
              "      <td>719.1</td>\n",
              "      <td>760.0</td>\n",
              "      <td>8.6</td>\n",
              "      <td>2012</td>\n",
              "      <td>2</td>\n",
              "      <td>2018</td>\n",
              "      <td>1</td>\n",
              "      <td>1546</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   ENEMLINGUAGEM  ENEMNATURAIS  ENEMREDACAO  ...  CURSO_522  CURSO_523  CURSO_562\n",
              "0          605.8         706.6        960.0  ...          0          0          0\n",
              "2          636.2         617.2        720.0  ...          0          0          0\n",
              "3          559.1         522.0        700.0  ...          0          0          0\n",
              "7          637.8         603.2        760.0  ...          0          0          0\n",
              "8          674.1         719.1        760.0  ...          0          0          0\n",
              "\n",
              "[5 rows x 75 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 59
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "wyZn1d4PTkuf",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "c9bdf206-b8c3-446f-c8c3-8b6851ed9df8"
      },
      "source": [
        "nameFeatures = list(features)\n",
        "nameFeatures"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['ENEMLINGUAGEM',\n",
              " 'ENEMNATURAIS',\n",
              " 'ENEMREDACAO',\n",
              " 'CR',\n",
              " 'ANOINGRESSO',\n",
              " 'SEMESTREINGRESSO',\n",
              " 'ANODESVINCULACAO',\n",
              " 'SEMESTREDESVINCULACAO',\n",
              " 'BAIRRO',\n",
              " 'TRANCAMENTOS',\n",
              " 'SEXO',\n",
              " 'ACAOAFIRMATIVA_AC',\n",
              " 'ACAOAFIRMATIVA_L1',\n",
              " 'TURNOATUAL_NOTURNO',\n",
              " 'COR_BRANCA',\n",
              " 'COR_INDÍGENA',\n",
              " 'COR_NÃO DECLARADO',\n",
              " 'COR_PARDA',\n",
              " 'CURSO_2',\n",
              " 'CURSO_5',\n",
              " 'CURSO_6',\n",
              " 'CURSO_7',\n",
              " 'CURSO_9',\n",
              " 'CURSO_15',\n",
              " 'CURSO_16',\n",
              " 'CURSO_17',\n",
              " 'CURSO_18',\n",
              " 'CURSO_21',\n",
              " 'CURSO_22',\n",
              " 'CURSO_23',\n",
              " 'CURSO_24',\n",
              " 'CURSO_26',\n",
              " 'CURSO_28',\n",
              " 'CURSO_30',\n",
              " 'CURSO_31',\n",
              " 'CURSO_32',\n",
              " 'CURSO_33',\n",
              " 'CURSO_35',\n",
              " 'CURSO_36',\n",
              " 'CURSO_37',\n",
              " 'CURSO_39',\n",
              " 'CURSO_40',\n",
              " 'CURSO_41',\n",
              " 'CURSO_42',\n",
              " 'CURSO_43',\n",
              " 'CURSO_44',\n",
              " 'CURSO_45',\n",
              " 'CURSO_46',\n",
              " 'CURSO_47',\n",
              " 'CURSO_48',\n",
              " 'CURSO_50',\n",
              " 'CURSO_51',\n",
              " 'CURSO_53',\n",
              " 'CURSO_59',\n",
              " 'CURSO_60',\n",
              " 'CURSO_61',\n",
              " 'CURSO_62',\n",
              " 'CURSO_65',\n",
              " 'CURSO_102',\n",
              " 'CURSO_194',\n",
              " 'CURSO_195',\n",
              " 'CURSO_244',\n",
              " 'CURSO_245',\n",
              " 'CURSO_262',\n",
              " 'CURSO_263',\n",
              " 'CURSO_264',\n",
              " 'CURSO_322',\n",
              " 'CURSO_342',\n",
              " 'CURSO_362',\n",
              " 'CURSO_382',\n",
              " 'CURSO_403',\n",
              " 'CURSO_502',\n",
              " 'CURSO_522',\n",
              " 'CURSO_523',\n",
              " 'CURSO_562']"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 60
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "MnLPQ9GWO-BT",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 229
        },
        "outputId": "2f387200-b120-4c51-fa7d-ae075b89c433"
      },
      "source": [
        "print(features.dtypes)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "ENEMLINGUAGEM    float64\n",
            "ENEMNATURAIS     float64\n",
            "ENEMREDACAO      float64\n",
            "CR               float64\n",
            "ANOINGRESSO        int64\n",
            "                  ...   \n",
            "CURSO_403          uint8\n",
            "CURSO_502          uint8\n",
            "CURSO_522          uint8\n",
            "CURSO_523          uint8\n",
            "CURSO_562          uint8\n",
            "Length: 75, dtype: object\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "8z-z7LVZTkug",
        "colab": {}
      },
      "source": [
        "for c in features.columns:\n",
        "    if features[c].dtype == 'object':\n",
        "        lbl = LabelEncoder()\n",
        "        lbl.fit(list(features[c].values))\n",
        "        features[c] = lbl.transform(list(features[c].values))"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "Qj8kbCgETkuh",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 229
        },
        "outputId": "e2c22fbf-e655-463d-da34-834ec156db56"
      },
      "source": [
        "print(features.dtypes)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "ENEMLINGUAGEM    float64\n",
            "ENEMNATURAIS     float64\n",
            "ENEMREDACAO      float64\n",
            "CR               float64\n",
            "ANOINGRESSO        int64\n",
            "                  ...   \n",
            "CURSO_403          uint8\n",
            "CURSO_502          uint8\n",
            "CURSO_522          uint8\n",
            "CURSO_523          uint8\n",
            "CURSO_562          uint8\n",
            "Length: 75, dtype: object\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "GfmesF_ZTkui",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 158
        },
        "outputId": "8891cbfa-4cc8-435f-d623-7faebd45ce07"
      },
      "source": [
        "features = np.array(features.values, dtype=np.float64)\n",
        "print(features)\n",
        "print(features.shape)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[[605.8 706.6 960.  ...   0.    0.    0. ]\n",
            " [636.2 617.2 720.  ...   0.    0.    0. ]\n",
            " [559.1 522.  700.  ...   0.    0.    0. ]\n",
            " ...\n",
            " [440.3 321.  600.  ...   0.    0.    0. ]\n",
            " [595.3 591.5 580.  ...   0.    0.    0. ]\n",
            " [659.2 512.5 680.  ...   0.    0.    0. ]]\n",
            "(8441, 75)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "Bvu0WdUdM4wA"
      },
      "source": [
        "# **Data Leakage Analysis**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "fTWEN3kqbkIN",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# Program to check if a Python list contains elements of another list\n",
        "  \n",
        "def list_contains(List1, List2): \n",
        "  \n",
        "    set1 = set(List1) \n",
        "    set2 = set(List2) \n",
        "    if set1.intersection(set2): \n",
        "        return True \n",
        "    else: \n",
        "        return False"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "xXfjrpdHiPyN",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "7c026e37-1637-4978-a3c4-4763b6f0ed57"
      },
      "source": [
        "skfold = SKFold(n_splits=10, random_state=None, shuffle=False)\n",
        "\n",
        "k = 0\n",
        "for train_index, valid_index in skfold.split(features, allClasses):\n",
        "    print(\"\\nIDX_TRAIN:\", train_index, \"IDX_VALIDATION:\", valid_index)\n",
        "    check = list_contains(train_index, valid_index)\n",
        "    \n",
        "    if check is True:\n",
        "        print(\"The train set contains elements of the validation set.\" )    \n",
        "    else :\n",
        "        print(\"No, train set doesn't have elements of the validation set.\")\n",
        "    \n",
        "    k=k+1"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "\n",
            "IDX_TRAIN: [ 403  412  418 ... 8438 8439 8440] IDX_VALIDATION: [   0    1    2    3    4    5    6    7    8    9   10   11   12   13\n",
            "   14   15   16   17   18   19   20   21   22   23   24   25   26   27\n",
            "   28   29   30   31   32   33   34   35   36   37   38   39   40   41\n",
            "   42   43   44   45   46   47   48   49   50   51   52   53   54   55\n",
            "   56   57   58   59   60   61   62   63   64   65   66   67   68   69\n",
            "   70   71   72   73   74   75   76   77   78   79   80   81   82   83\n",
            "   84   85   86   87   88   89   90   91   92   93   94   95   96   97\n",
            "   98   99  100  101  102  103  104  105  106  107  108  109  110  111\n",
            "  112  113  114  115  116  117  118  119  120  121  122  123  124  125\n",
            "  126  127  128  129  130  131  132  133  134  135  136  137  138  139\n",
            "  140  141  142  143  144  145  146  147  148  149  150  151  152  153\n",
            "  154  155  156  157  158  159  160  161  162  163  164  165  166  167\n",
            "  168  169  170  171  172  173  174  175  176  177  178  179  180  181\n",
            "  182  183  184  185  186  187  188  189  190  191  192  193  194  195\n",
            "  196  197  198  199  200  201  202  203  204  205  206  207  208  209\n",
            "  210  211  212  213  214  215  216  217  218  219  220  221  222  223\n",
            "  224  225  226  227  228  229  230  231  232  233  234  235  236  237\n",
            "  238  239  240  241  242  243  244  245  246  247  248  249  250  251\n",
            "  252  253  254  255  256  257  258  259  260  261  262  263  264  265\n",
            "  266  267  268  269  270  271  272  273  274  275  276  277  278  279\n",
            "  280  281  282  283  284  285  286  287  288  289  290  291  292  293\n",
            "  294  295  296  297  298  299  300  301  302  303  304  305  306  307\n",
            "  308  309  310  311  312  313  314  315  316  317  318  319  320  321\n",
            "  322  323  324  325  326  327  328  329  330  331  332  333  334  335\n",
            "  336  337  338  339  340  341  342  343  344  345  346  347  348  349\n",
            "  350  351  352  353  354  355  356  357  358  359  360  361  362  363\n",
            "  364  365  366  367  368  369  370  371  372  373  374  375  376  377\n",
            "  378  379  380  381  382  383  384  385  386  387  388  389  390  391\n",
            "  392  393  394  395  396  397  398  399  400  401  402  404  405  406\n",
            "  407  408  409  410  411  413  414  415  416  417  419  420  421  422\n",
            "  424  426  428  430  435  436  437  438  440  441  443  445  446  448\n",
            "  449  451  452  456  457  458  459  462  464  465  466  467  468  469\n",
            "  472  473  474  475  476  478  483  484  485  491  492  493  494  495\n",
            "  496  498  500  502  503  506  507  509  510  512  513  515  516  518\n",
            "  519  520  523  524  525  526  527  528  529  533  534  536  537  538\n",
            "  540  541  542  543  545  546  550  552  554  557  558  559  561  562\n",
            "  563  565  566  569  570  571  577  578  581  585  586  588  589  591\n",
            "  595  596  597  599  603  605  606  607  608  610  611  612  613  614\n",
            "  615  618  619  620  622  623  624  625  628  630  632  633  634  635\n",
            "  636  637  640  641  643  644  645  647  649  650  651  654  660  661\n",
            "  662  663  664  666  667  670  671  673  674  675  676  677  678  679\n",
            "  681  683  689  691  697  700  701  702  703  704  705  706  708  711\n",
            "  716  719  720  721  722  725  726  729  730  733  734  736  738  739\n",
            "  742  743  744  745  746  747  748  750  751  753  754  755  757  758\n",
            "  759  761  764  766  767  768  769  771  772  774  779  780  781  782\n",
            "  784  785  787  790  792  793  795  797  798  799  801  802  806  807\n",
            "  809  810  813  814  815  816  822  824  825  826  827  832  833  836\n",
            "  837  838  840  844  845  846  847  850  853  855  862  865  872  873\n",
            "  874  875  876  877  880  882  883  884  886  887  888  893  894  895\n",
            "  899  903  904  905  906  907  908  910  911  914  915  919  923  924\n",
            "  925  927  928  930  931  932  933  935  936  945  947  948  949  951\n",
            "  954  955  956  957  958  960  961  962  963  964  966  969  970  972\n",
            "  973  974  976  978  979  980  983  984  985  986  987  988  991  995\n",
            " 1000 1003 1005 1006 1008 1009 1010 1011 1012 1013 1014 1015 1017 1018\n",
            " 1020 1021 1023 1028 1029 1036 1038 1039 1040 1041 1045 1047 1048 1049\n",
            " 1050 1051 1055 1059 1060 1061 1063 1064 1067 1069 1071 1073 1074 1075\n",
            " 1076 1077 1079 1080 1081 1082 1083 1084 1086 1088 1089 1090 1091 1092\n",
            " 1095 1096 1099 1100 1102 1104 1106 1109 1111 1112 1115 1117 1118 1119\n",
            " 1120 1124 1125 1129 1130 1131 1132 1133 1135 1139 1140 1143 1144 1147\n",
            " 1148 1149 1150 1151 1153 1155 1156 1157 1158 1160 1161 1162 1166 1168\n",
            " 1171 1173 1174 1176 1177]\n",
            "No, train set doesn't have elements of the validation set.\n",
            "\n",
            "IDX_TRAIN: [   0    1    2 ... 8438 8439 8440] IDX_VALIDATION: [ 403  412  418  423  425  427  429  431  432  433  434  439  442  444\n",
            "  447  450  453  454  455  460  461  463  470  471  477  479  480  481\n",
            "  482  486  487  488  489  490  497  499  501  504  505  508  511  514\n",
            "  517  521  522  530  531  532  535  539  544  547  548  549  551  553\n",
            "  555  556  560  564  567  568  572  573  574  575  576  579  580  582\n",
            "  583  584  587  590  592  593  594  598  600  601  602  604  609  616\n",
            "  617  621  626  627  629  631  638  639  642  646  648  652  653  655\n",
            "  656  657  658  659  665  668  669  672  680  682  684  685  686  687\n",
            "  688  690  692  693  694  695  696  698  699  707  709  710  712  713\n",
            "  714  715  717  718  723  724  727  728  731  732  735  737  740  741\n",
            "  749  752  756  760  762  763  765  770  773  775  776  777  778  783\n",
            "  786  788  789  791  794  796  800  803  804  805  808  811  812  817\n",
            "  818  819  820  821  823  828  829  830  831  834  835  839  841  842\n",
            "  843  848  849  851  852  854  856  857  858  859  860  861  863  864\n",
            "  866  867  868  869  870  871  878  879  881  885  889  890  891  892\n",
            "  896  897  898  900  901  902  909  912  913  916  917  918  920  921\n",
            "  922  926  929  934  937  938  939  940  941  942  943  944  946  950\n",
            "  952  953  959  965  967  968  971  975  977  981  982  989  990  992\n",
            "  993  994  996  997  998  999 1001 1002 1004 1007 1016 1178 1179 1182\n",
            " 1183 1185 1187 1188 1189 1191 1192 1194 1197 1198 1199 1200 1202 1203\n",
            " 1209 1211 1212 1214 1215 1218 1219 1220 1222 1224 1225 1227 1228 1231\n",
            " 1232 1233 1234 1236 1237 1238 1239 1240 1241 1242 1245 1248 1249 1251\n",
            " 1252 1253 1255 1259 1260 1262 1267 1271 1272 1274 1278 1279 1280 1281\n",
            " 1282 1284 1285 1287 1291 1292 1293 1294 1295 1299 1300 1301 1307 1308\n",
            " 1309 1310 1311 1313 1315 1316 1318 1319 1323 1324 1325 1328 1331 1332\n",
            " 1333 1336 1337 1338 1340 1342 1343 1346 1348 1350 1351 1352 1353 1354\n",
            " 1355 1356 1357 1360 1362 1363 1364 1365 1368 1369 1370 1372 1373 1375\n",
            " 1376 1378 1381 1382 1383 1389 1390 1391 1392 1393 1396 1398 1399 1400\n",
            " 1401 1403 1405 1406 1407 1409 1410 1411 1413 1414 1415 1416 1417 1418\n",
            " 1419 1421 1422 1423 1425 1426 1427 1428 1429 1430 1431 1437 1438 1439\n",
            " 1440 1441 1442 1444 1445 1447 1448 1449 1452 1454 1455 1456 1458 1459\n",
            " 1462 1463 1464 1466 1469 1470 1472 1474 1475 1476 1478 1479 1481 1482\n",
            " 1483 1485 1492 1497 1499 1500 1501 1502 1503 1504 1506 1508 1509 1510\n",
            " 1511 1513 1514 1516 1517 1518 1520 1521 1522 1525 1527 1529 1530 1531\n",
            " 1532 1533 1535 1539 1541 1542 1543 1544 1545 1546 1547 1548 1550 1551\n",
            " 1552 1556 1557 1558 1559 1561 1563 1565 1566 1568 1569 1574 1575 1577\n",
            " 1578 1581 1583 1584 1585 1587 1588 1589 1592 1594 1595 1596 1597 1598\n",
            " 1599 1600 1603 1604 1606 1607 1610 1611 1613 1616 1618 1620 1622 1623\n",
            " 1624 1627 1628 1629 1631 1632 1634 1635 1641 1642 1643 1644 1645 1646\n",
            " 1650 1653 1654 1655 1656 1657 1658 1659 1660 1661 1662 1663 1664 1665\n",
            " 1666 1667 1668 1669 1671 1672 1673 1674 1675 1677 1678 1679 1685 1687\n",
            " 1692 1693 1694 1695 1697 1698 1699 1700 1701 1702 1704 1705 1706 1710\n",
            " 1711 1712 1713 1716 1718 1719 1722 1726 1727 1728 1729 1730 1731 1735\n",
            " 1736 1737 1738 1739 1740 1741 1742 1743 1747 1748 1749 1750 1754 1755\n",
            " 1756 1757 1758 1759 1760 1762 1763 1766 1767 1768 1772 1774 1776 1780\n",
            " 1781 1782 1783 1784 1786 1787 1789 1790 1794 1795 1796 1797 1798 1799\n",
            " 1800 1801 1802 1803 1804 1805 1806 1811 1813 1814 1815 1816 1817 1818\n",
            " 1819 1820 1823 1824 1825 1826 1828 1829 1830 1831 1833 1836 1837 1838\n",
            " 1842 1843 1844 1845 1847 1848 1849 1851 1852 1853 1855 1858 1861 1862\n",
            " 1863 1864 1865 1867 1868 1869 1874 1875 1876 1877 1878 1879 1880 1881\n",
            " 1883 1884 1885 1886 1888 1890 1893 1897 1898 1899 1900 1901 1902 1903\n",
            " 1904 1905 1906 1907 1908 1909 1910 1911 1912 1913 1914 1916 1917 1918\n",
            " 1919 1921 1923 1925 1930 1932 1934 1936 1937 1939 1942 1943 1944 1945\n",
            " 1946 1949 1950 1951 1952 1953 1955 1957 1958 1959 1960 1961 1962 1963\n",
            " 1964 1965 1966 1967 1968 1970 1971 1973 1975 1976 1978 1979 1980 1982\n",
            " 1983 1985 1986 1989 1991 1992 1994 1995 1996 1999 2000 2002 2003 2005\n",
            " 2006 2007 2008 2011 2012 2013 2014 2015 2017 2020 2021 2022 2024 2025\n",
            " 2026 2027 2028 2030 2031 2032 2037 2041 2042 2043 2044 2051 2052 2054\n",
            " 2057 2060 2061 2064 2065 2068 2069 2070 2071 2072 2075 2076 2078 2079\n",
            " 2081 2083 2084 2085 2086 2087 2088 2090 2091 2092 2093 2094 2095 2096\n",
            " 2097 2099 2100 2101]\n",
            "No, train set doesn't have elements of the validation set.\n",
            "\n",
            "IDX_TRAIN: [   0    1    2 ... 8438 8439 8440] IDX_VALIDATION: [1019 1022 1024 1025 1026 1027 1030 1031 1032 1033 1034 1035 1037 1042\n",
            " 1043 1044 1046 1052 1053 1054 1056 1057 1058 1062 1065 1066 1068 1070\n",
            " 1072 1078 1085 1087 1093 1094 1097 1098 1101 1103 1105 1107 1108 1110\n",
            " 1113 1114 1116 1121 1122 1123 1126 1127 1128 1134 1136 1137 1138 1141\n",
            " 1142 1145 1146 1152 1154 1159 1163 1164 1165 1167 1169 1170 1172 1175\n",
            " 1180 1181 1184 1186 1190 1193 1195 1196 1201 1204 1205 1206 1207 1208\n",
            " 1210 1213 1216 1217 1221 1223 1226 1229 1230 1235 1243 1244 1246 1247\n",
            " 1250 1254 1256 1257 1258 1261 1263 1264 1265 1266 1268 1269 1270 1273\n",
            " 1275 1276 1277 1283 1286 1288 1289 1290 1296 1297 1298 1302 1303 1304\n",
            " 1305 1306 1312 1314 1317 1320 1321 1322 1326 1327 1329 1330 1334 1335\n",
            " 1339 1341 1344 1345 1347 1349 1358 1359 1361 1366 1367 1371 1374 1377\n",
            " 1379 1380 1384 1385 1386 1387 1388 1394 1395 1397 1402 1404 1408 1412\n",
            " 1420 1424 1432 1433 1434 1435 1436 1443 1446 1450 1451 1453 1457 1460\n",
            " 1461 1465 1467 1468 1471 1473 1477 1480 1484 1486 1487 1488 1489 1490\n",
            " 1491 1493 1494 1495 1496 1498 1505 1507 1512 1515 1519 1523 1524 1526\n",
            " 1528 1534 1536 1537 1538 1540 1549 1553 1554 1555 1560 1562 1564 1567\n",
            " 1570 1571 1572 1573 1576 1579 1580 1582 1586 1590 1591 1593 1601 1602\n",
            " 1605 1608 1609 1612 1614 1615 1617 1619 1621 1625 1626 1630 1633 1636\n",
            " 1637 1638 1639 1640 1647 1648 1649 1651 1652 1670 1676 2103 2104 2110\n",
            " 2112 2113 2116 2117 2120 2124 2128 2129 2132 2134 2135 2136 2137 2138\n",
            " 2139 2140 2142 2144 2146 2148 2149 2150 2151 2152 2153 2154 2157 2158\n",
            " 2159 2160 2161 2162 2163 2164 2165 2166 2167 2168 2170 2171 2174 2177\n",
            " 2178 2179 2183 2184 2185 2187 2192 2193 2194 2200 2202 2203 2205 2206\n",
            " 2207 2208 2209 2210 2212 2214 2217 2218 2219 2221 2223 2224 2227 2233\n",
            " 2234 2236 2240 2243 2244 2245 2246 2248 2254 2256 2257 2259 2261 2262\n",
            " 2263 2265 2266 2267 2268 2269 2270 2271 2272 2273 2274 2275 2276 2277\n",
            " 2279 2280 2281 2287 2288 2289 2291 2293 2294 2295 2296 2297 2298 2299\n",
            " 2300 2303 2304 2306 2307 2309 2310 2311 2312 2315 2316 2317 2318 2319\n",
            " 2321 2322 2323 2324 2325 2326 2327 2328 2329 2331 2332 2333 2334 2335\n",
            " 2336 2337 2339 2343 2344 2345 2346 2347 2348 2349 2351 2352 2353 2356\n",
            " 2357 2360 2362 2364 2365 2366 2368 2371 2372 2373 2377 2379 2380 2384\n",
            " 2385 2386 2387 2389 2390 2391 2392 2393 2394 2395 2396 2397 2400 2401\n",
            " 2402 2403 2406 2407 2408 2409 2410 2413 2415 2416 2418 2419 2421 2422\n",
            " 2423 2424 2425 2426 2428 2429 2430 2431 2432 2433 2434 2435 2436 2438\n",
            " 2439 2440 2443 2444 2445 2446 2447 2448 2450 2451 2452 2453 2454 2455\n",
            " 2460 2461 2462 2464 2465 2468 2470 2471 2472 2474 2476 2477 2478 2479\n",
            " 2480 2481 2482 2483 2485 2486 2489 2493 2495 2497 2498 2499 2500 2501\n",
            " 2502 2503 2507 2509 2512 2513 2515 2516 2517 2518 2521 2522 2524 2525\n",
            " 2527 2529 2531 2538 2539 2540 2542 2543 2544 2546 2547 2548 2549 2550\n",
            " 2551 2552 2555 2556 2557 2558 2559 2563 2564 2565 2567 2568 2573 2574\n",
            " 2575 2581 2583 2585 2586 2587 2588 2589 2590 2592 2593 2595 2598 2599\n",
            " 2601 2602 2603 2610 2611 2612 2613 2615 2616 2617 2619 2621 2622 2624\n",
            " 2626 2627 2629 2630 2631 2633 2634 2635 2636 2637 2638 2639 2640 2641\n",
            " 2646 2647 2648 2649 2651 2654 2655 2656 2657 2658 2659 2662 2665 2667\n",
            " 2668 2669 2671 2674 2675 2677 2678 2679 2681 2682 2684 2685 2686 2687\n",
            " 2688 2689 2690 2691 2693 2694 2696 2697 2698 2701 2704 2705 2709 2710\n",
            " 2711 2713 2715 2716 2717 2718 2720 2723 2724 2725 2728 2729 2731 2736\n",
            " 2737 2738 2742 2746 2748 2750 2751 2753 2754 2755 2757 2758 2759 2763\n",
            " 2764 2765 2766 2768 2769 2770 2772 2773 2774 2775 2779 2780 2782 2783\n",
            " 2784 2785 2786 2787 2788 2789 2790 2791 2795 2796 2797 2800 2803 2805\n",
            " 2806 2807 2809 2810 2811 2812 2813 2814 2815 2818 2819 2821 2822 2823\n",
            " 2824 2825 2827 2828 2830 2832 2833 2834 2836 2839 2840 2841 2843 2845\n",
            " 2846 2848 2849 2850 2852 2853 2855 2857 2858 2860 2861 2862 2863 2864\n",
            " 2865 2866 2868 2869 2871 2872 2873 2874 2875 2876 2877 2878 2880 2881\n",
            " 2882 2884 2889 2890 2893 2894 2896 2898 2899 2900 2901 2906 2908 2909\n",
            " 2910 2911 2912 2915 2917 2918 2919 2921 2922 2926 2928 2929 2931 2932\n",
            " 2934 2935 2937 2938 2939 2941 2946 2947 2948 2949 2950 2951 2952 2953\n",
            " 2955 2958 2959 2961 2962 2963 2964 2965 2968 2971 2972 2973 2974 2975\n",
            " 2976 2977 2978 2979 2980 2981 2982 2983 2984 2985 2986 2993 2994 2995\n",
            " 2996 2997 2998 2999 3000 3001 3002 3003 3004 3005 3007 3009 3010 3012\n",
            " 3013 3014 3015 3016]\n",
            "No, train set doesn't have elements of the validation set.\n",
            "\n",
            "IDX_TRAIN: [   0    1    2 ... 8438 8439 8440] IDX_VALIDATION: [1680 1681 1682 1683 1684 1686 1688 1689 1690 1691 1696 1703 1707 1708\n",
            " 1709 1714 1715 1717 1720 1721 1723 1724 1725 1732 1733 1734 1744 1745\n",
            " 1746 1751 1752 1753 1761 1764 1765 1769 1770 1771 1773 1775 1777 1778\n",
            " 1779 1785 1788 1791 1792 1793 1807 1808 1809 1810 1812 1821 1822 1827\n",
            " 1832 1834 1835 1839 1840 1841 1846 1850 1854 1856 1857 1859 1860 1866\n",
            " 1870 1871 1872 1873 1882 1887 1889 1891 1892 1894 1895 1896 1915 1920\n",
            " 1922 1924 1926 1927 1928 1929 1931 1933 1935 1938 1940 1941 1947 1948\n",
            " 1954 1956 1969 1972 1974 1977 1981 1984 1987 1988 1990 1993 1997 1998\n",
            " 2001 2004 2009 2010 2016 2018 2019 2023 2029 2033 2034 2035 2036 2038\n",
            " 2039 2040 2045 2046 2047 2048 2049 2050 2053 2055 2056 2058 2059 2062\n",
            " 2063 2066 2067 2073 2074 2077 2080 2082 2089 2098 2102 2105 2106 2107\n",
            " 2108 2109 2111 2114 2115 2118 2119 2121 2122 2123 2125 2126 2127 2130\n",
            " 2131 2133 2141 2143 2145 2147 2155 2156 2169 2172 2173 2175 2176 2180\n",
            " 2181 2182 2186 2188 2189 2190 2191 2195 2196 2197 2198 2199 2201 2204\n",
            " 2211 2213 2215 2216 2220 2222 2225 2226 2228 2229 2230 2231 2232 2235\n",
            " 2237 2238 2239 2241 2242 2247 2249 2250 2251 2252 2253 2255 2258 2260\n",
            " 2264 2278 2282 2283 2284 2285 2286 2290 2292 2301 2302 2305 2308 2313\n",
            " 2314 2320 2330 2338 2340 2341 2342 2350 2354 2355 2358 2359 2361 2363\n",
            " 2367 2369 2370 2374 2375 2376 2378 2381 2382 2383 2388 3017 3018 3019\n",
            " 3020 3021 3022 3023 3024 3027 3028 3029 3032 3033 3035 3036 3038 3039\n",
            " 3040 3041 3042 3044 3053 3055 3056 3057 3058 3059 3060 3061 3062 3063\n",
            " 3065 3068 3070 3072 3074 3077 3078 3081 3083 3084 3085 3086 3087 3089\n",
            " 3090 3091 3092 3093 3094 3095 3096 3097 3098 3099 3100 3101 3102 3106\n",
            " 3107 3109 3111 3112 3113 3114 3115 3116 3117 3118 3119 3120 3121 3122\n",
            " 3123 3124 3126 3128 3129 3130 3134 3136 3137 3138 3139 3140 3141 3142\n",
            " 3143 3144 3145 3146 3148 3149 3151 3152 3153 3154 3155 3156 3160 3161\n",
            " 3163 3164 3165 3166 3168 3169 3170 3171 3172 3173 3177 3180 3182 3185\n",
            " 3186 3187 3189 3190 3191 3192 3193 3194 3195 3196 3197 3199 3202 3203\n",
            " 3204 3205 3206 3208 3209 3210 3211 3214 3215 3216 3218 3219 3221 3222\n",
            " 3223 3225 3226 3228 3229 3230 3231 3233 3234 3236 3237 3238 3239 3240\n",
            " 3241 3242 3246 3247 3248 3249 3250 3257 3264 3265 3266 3267 3268 3269\n",
            " 3270 3271 3272 3273 3274 3276 3277 3278 3280 3282 3283 3284 3285 3289\n",
            " 3290 3291 3293 3297 3298 3300 3301 3305 3306 3308 3310 3311 3312 3314\n",
            " 3316 3317 3318 3319 3320 3322 3323 3324 3325 3326 3327 3328 3329 3330\n",
            " 3331 3334 3335 3338 3339 3340 3341 3342 3343 3344 3346 3349 3350 3351\n",
            " 3352 3353 3355 3356 3358 3362 3363 3365 3366 3367 3368 3369 3370 3371\n",
            " 3372 3373 3375 3377 3380 3381 3382 3387 3388 3389 3390 3392 3393 3394\n",
            " 3395 3396 3397 3398 3401 3402 3403 3407 3410 3411 3412 3413 3414 3416\n",
            " 3417 3418 3419 3420 3421 3425 3428 3430 3431 3432 3435 3436 3438 3439\n",
            " 3443 3444 3445 3446 3448 3451 3452 3453 3454 3455 3458 3461 3463 3464\n",
            " 3465 3469 3471 3472 3473 3474 3475 3476 3478 3480 3481 3482 3483 3484\n",
            " 3486 3487 3489 3490 3491 3493 3494 3495 3496 3497 3498 3502 3503 3504\n",
            " 3505 3506 3507 3508 3509 3510 3512 3513 3514 3515 3517 3518 3519 3521\n",
            " 3523 3525 3527 3528 3529 3530 3531 3532 3533 3536 3538 3539 3540 3542\n",
            " 3548 3550 3551 3552 3558 3560 3562 3563 3564 3565 3566 3568 3570 3571\n",
            " 3572 3573 3574 3576 3577 3579 3580 3582 3583 3584 3587 3588 3589 3590\n",
            " 3591 3593 3597 3600 3602 3605 3606 3607 3608 3609 3610 3611 3612 3613\n",
            " 3615 3616 3617 3618 3619 3620 3622 3623 3624 3625 3627 3628 3631 3632\n",
            " 3633 3634 3637 3638 3639 3640 3641 3644 3645 3647 3648 3649 3650 3651\n",
            " 3653 3655 3657 3659 3660 3662 3663 3667 3672 3673 3674 3676 3678 3680\n",
            " 3681 3682 3683 3684 3685 3687 3688 3692 3693 3694 3695 3696 3697 3698\n",
            " 3699 3700 3702 3703 3704 3705 3706 3707 3708 3709 3711 3712 3715 3716\n",
            " 3717 3719 3720 3721 3722 3723 3726 3727 3728 3731 3732 3733 3735 3737\n",
            " 3738 3739 3740 3741 3742 3743 3745 3747 3749 3751 3752 3754 3755 3756\n",
            " 3759 3760 3762 3764 3765 3766 3767 3768 3769 3770 3775 3777 3780 3781\n",
            " 3782 3783 3784 3786 3787 3791 3793 3796 3797 3798 3799 3800 3802 3803\n",
            " 3805 3810 3811 3813 3814 3815 3818 3821 3822 3824 3825 3826 3827 3828\n",
            " 3829 3831 3834 3835 3836 3840 3842 3848 3849 3852 3854 3855 3858 3862\n",
            " 3867 3869 3871 3872 3873 3874 3875 3876 3878 3880 3884 3889 3890 3891\n",
            " 3892 3893 3894 3896 3900 3901 3904 3905 3908 3910 3913 3914 3915 3917\n",
            " 3919 3920 3921 3922]\n",
            "No, train set doesn't have elements of the validation set.\n",
            "\n",
            "IDX_TRAIN: [   0    1    2 ... 8438 8439 8440] IDX_VALIDATION: [2398 2399 2404 2405 2411 2412 2414 2417 2420 2427 2437 2441 2442 2449\n",
            " 2456 2457 2458 2459 2463 2466 2467 2469 2473 2475 2484 2487 2488 2490\n",
            " 2491 2492 2494 2496 2504 2505 2506 2508 2510 2511 2514 2519 2520 2523\n",
            " 2526 2528 2530 2532 2533 2534 2535 2536 2537 2541 2545 2553 2554 2560\n",
            " 2561 2562 2566 2569 2570 2571 2572 2576 2577 2578 2579 2580 2582 2584\n",
            " 2591 2594 2596 2597 2600 2604 2605 2606 2607 2608 2609 2614 2618 2620\n",
            " 2623 2625 2628 2632 2642 2643 2644 2645 2650 2652 2653 2660 2661 2663\n",
            " 2664 2666 2670 2672 2673 2676 2680 2683 2692 2695 2699 2700 2702 2703\n",
            " 2706 2707 2708 2712 2714 2719 2721 2722 2726 2727 2730 2732 2733 2734\n",
            " 2735 2739 2740 2741 2743 2744 2745 2747 2749 2752 2756 2760 2761 2762\n",
            " 2767 2771 2776 2777 2778 2781 2792 2793 2794 2798 2799 2801 2802 2804\n",
            " 2808 2816 2817 2820 2826 2829 2831 2835 2837 2838 2842 2844 2847 2851\n",
            " 2854 2856 2859 2867 2870 2879 2883 2885 2886 2887 2888 2891 2892 2895\n",
            " 2897 2902 2903 2904 2905 2907 2913 2914 2916 2920 2923 2924 2925 2927\n",
            " 2930 2933 2936 2940 2942 2943 2944 2945 2954 2956 2957 2960 2966 2967\n",
            " 2969 2970 2987 2988 2989 2990 2991 2992 3006 3008 3011 3025 3026 3030\n",
            " 3031 3034 3037 3043 3045 3046 3047 3048 3049 3050 3051 3052 3054 3064\n",
            " 3066 3067 3069 3071 3073 3075 3076 3079 3080 3082 3088 3103 3104 3105\n",
            " 3108 3110 3125 3127 3131 3132 3133 3135 3147 3150 3923 3924 3925 3930\n",
            " 3931 3932 3933 3934 3935 3938 3939 3940 3941 3942 3944 3945 3949 3950\n",
            " 3952 3953 3954 3956 3959 3960 3962 3963 3964 3965 3966 3968 3972 3974\n",
            " 3976 3978 3979 3988 3990 3991 3992 3993 3995 3998 4001 4002 4003 4005\n",
            " 4006 4010 4011 4012 4013 4014 4016 4017 4019 4021 4024 4025 4028 4030\n",
            " 4035 4036 4038 4039 4040 4041 4042 4043 4044 4045 4046 4050 4051 4052\n",
            " 4053 4054 4055 4057 4058 4059 4060 4064 4065 4067 4068 4071 4073 4076\n",
            " 4077 4078 4081 4082 4083 4084 4086 4088 4089 4090 4091 4094 4097 4102\n",
            " 4103 4104 4105 4106 4107 4108 4109 4110 4113 4114 4117 4121 4122 4123\n",
            " 4124 4127 4128 4129 4131 4132 4134 4135 4136 4137 4139 4140 4142 4143\n",
            " 4144 4146 4147 4148 4149 4150 4151 4152 4153 4154 4155 4156 4157 4158\n",
            " 4159 4160 4161 4164 4165 4166 4167 4170 4171 4172 4173 4174 4175 4178\n",
            " 4180 4181 4182 4187 4190 4191 4192 4193 4197 4198 4200 4201 4203 4204\n",
            " 4206 4208 4209 4210 4211 4212 4213 4215 4216 4217 4222 4226 4227 4229\n",
            " 4230 4231 4232 4233 4234 4235 4236 4241 4246 4248 4249 4257 4258 4259\n",
            " 4260 4261 4263 4264 4267 4268 4269 4270 4271 4272 4273 4274 4275 4276\n",
            " 4279 4280 4281 4282 4283 4284 4287 4289 4290 4291 4292 4293 4294 4295\n",
            " 4296 4297 4299 4300 4305 4315 4318 4319 4320 4321 4322 4323 4325 4327\n",
            " 4328 4329 4330 4331 4334 4335 4336 4337 4338 4339 4349 4350 4354 4360\n",
            " 4361 4365 4367 4368 4369 4370 4371 4372 4373 4382 4383 4384 4385 4386\n",
            " 4387 4388 4389 4390 4391 4392 4393 4396 4397 4398 4399 4400 4403 4406\n",
            " 4407 4408 4409 4411 4412 4413 4414 4418 4420 4422 4423 4425 4426 4428\n",
            " 4429 4431 4432 4434 4435 4436 4437 4438 4439 4442 4443 4447 4448 4449\n",
            " 4451 4454 4456 4458 4459 4460 4461 4462 4463 4467 4468 4469 4471 4472\n",
            " 4473 4474 4476 4480 4481 4482 4484 4486 4487 4488 4489 4490 4491 4492\n",
            " 4493 4494 4495 4497 4498 4499 4501 4504 4505 4506 4507 4508 4509 4510\n",
            " 4511 4512 4513 4514 4515 4516 4517 4518 4519 4520 4522 4523 4524 4525\n",
            " 4526 4527 4528 4529 4530 4531 4532 4533 4534 4535 4536 4538 4539 4540\n",
            " 4541 4542 4543 4544 4545 4546 4547 4548 4549 4550 4551 4552 4553 4554\n",
            " 4555 4557 4558 4559 4560 4561 4565 4567 4568 4569 4570 4571 4572 4573\n",
            " 4578 4580 4583 4584 4585 4586 4587 4588 4589 4591 4592 4594 4595 4596\n",
            " 4597 4599 4600 4601 4602 4603 4604 4605 4606 4607 4611 4612 4613 4614\n",
            " 4615 4616 4617 4618 4619 4621 4622 4623 4624 4625 4626 4629 4631 4632\n",
            " 4633 4635 4636 4637 4638 4639 4640 4642 4643 4644 4645 4648 4649 4650\n",
            " 4651 4652 4653 4654 4657 4659 4660 4661 4662 4665 4667 4668 4669 4670\n",
            " 4672 4673 4674 4675 4676 4677 4678 4679 4680 4681 4682 4683 4684 4685\n",
            " 4686 4687 4688 4689 4691 4692 4694 4695 4696 4697 4698 4699 4701 4702\n",
            " 4703 4704 4706 4709 4710 4712 4713 4714 4715 4719 4720 4721 4722 4723\n",
            " 4724 4725 4726 4729 4730 4732 4733 4734 4736 4738 4739 4740 4741 4742\n",
            " 4743 4744 4745 4746 4750 4751 4752 4757 4758 4759 4760 4764 4765 4767\n",
            " 4768 4769 4770 4771 4772 4773 4774 4776 4777 4778 4779 4781 4782 4783\n",
            " 4786 4787 4788 4789 4793 4794 4795 4796 4797 4799 4802 4805 4806 4807\n",
            " 4809 4810 4811 4813]\n",
            "No, train set doesn't have elements of the validation set.\n",
            "\n",
            "IDX_TRAIN: [   0    1    2 ... 8438 8439 8440] IDX_VALIDATION: [3157 3158 3159 3162 3167 3174 3175 3176 3178 3179 3181 3183 3184 3188\n",
            " 3198 3200 3201 3207 3212 3213 3217 3220 3224 3227 3232 3235 3243 3244\n",
            " 3245 3251 3252 3253 3254 3255 3256 3258 3259 3260 3261 3262 3263 3275\n",
            " 3279 3281 3286 3287 3288 3292 3294 3295 3296 3299 3302 3303 3304 3307\n",
            " 3309 3313 3315 3321 3332 3333 3336 3337 3345 3347 3348 3354 3357 3359\n",
            " 3360 3361 3364 3374 3376 3378 3379 3383 3384 3385 3386 3391 3399 3400\n",
            " 3404 3405 3406 3408 3409 3415 3422 3423 3424 3426 3427 3429 3433 3434\n",
            " 3437 3440 3441 3442 3447 3449 3450 3456 3457 3459 3460 3462 3466 3467\n",
            " 3468 3470 3477 3479 3485 3488 3492 3499 3500 3501 3511 3516 3520 3522\n",
            " 3524 3526 3534 3535 3537 3541 3543 3544 3545 3546 3547 3549 3553 3554\n",
            " 3555 3556 3557 3559 3561 3567 3569 3575 3578 3581 3585 3586 3592 3594\n",
            " 3595 3596 3598 3599 3601 3603 3604 3614 3621 3626 3629 3630 3635 3636\n",
            " 3642 3643 3646 3652 3654 3656 3658 3661 3664 3665 3666 3668 3669 3670\n",
            " 3671 3675 3677 3679 3686 3689 3690 3691 3701 3710 3713 3714 3718 3724\n",
            " 3725 3729 3730 3734 3736 3744 3746 3748 3750 3753 3757 3758 3761 3763\n",
            " 3771 3772 3773 3774 3776 3778 3779 3785 3788 3789 3790 3792 3794 3795\n",
            " 3801 3804 3806 3807 3808 3809 3812 3816 3817 3819 3820 3823 3830 3832\n",
            " 3833 3837 3838 3839 3841 3843 3844 3845 3846 3847 3850 3851 3853 3856\n",
            " 3857 3859 3860 3861 3863 3864 3865 3866 3868 3870 4815 4816 4817 4819\n",
            " 4820 4821 4822 4823 4826 4827 4828 4829 4830 4831 4832 4833 4834 4838\n",
            " 4839 4840 4841 4842 4844 4845 4846 4847 4848 4849 4850 4851 4853 4854\n",
            " 4855 4856 4857 4858 4861 4862 4863 4866 4867 4868 4869 4870 4871 4872\n",
            " 4873 4874 4875 4876 4877 4878 4879 4882 4883 4885 4886 4888 4891 4892\n",
            " 4896 4897 4898 4899 4900 4901 4902 4904 4905 4907 4910 4916 4917 4920\n",
            " 4921 4925 4926 4928 4929 4930 4931 4932 4933 4934 4935 4937 4938 4939\n",
            " 4941 4942 4944 4945 4946 4950 4951 4952 4953 4954 4955 4956 4957 4958\n",
            " 4959 4960 4961 4962 4965 4966 4967 4970 4972 4975 4976 4977 4978 4982\n",
            " 4985 4988 4989 4990 4992 4994 4997 4998 5000 5001 5002 5004 5006 5007\n",
            " 5008 5009 5010 5013 5014 5015 5016 5017 5018 5019 5020 5021 5022 5025\n",
            " 5026 5027 5030 5031 5032 5033 5034 5035 5036 5038 5041 5042 5044 5045\n",
            " 5047 5048 5049 5050 5051 5052 5053 5054 5055 5057 5058 5061 5062 5063\n",
            " 5064 5065 5066 5067 5072 5073 5074 5078 5081 5082 5083 5084 5085 5089\n",
            " 5090 5091 5092 5094 5095 5099 5100 5101 5102 5103 5105 5106 5110 5111\n",
            " 5112 5113 5114 5115 5117 5121 5122 5123 5125 5127 5132 5133 5134 5135\n",
            " 5136 5137 5139 5140 5141 5142 5143 5144 5146 5147 5148 5150 5152 5153\n",
            " 5154 5155 5156 5157 5158 5161 5162 5163 5164 5165 5166 5167 5170 5171\n",
            " 5172 5173 5174 5176 5177 5178 5180 5182 5185 5186 5187 5188 5189 5190\n",
            " 5191 5193 5196 5197 5200 5201 5202 5205 5206 5207 5210 5211 5215 5217\n",
            " 5218 5219 5220 5221 5222 5223 5224 5225 5226 5227 5229 5231 5232 5233\n",
            " 5236 5237 5238 5239 5240 5241 5242 5243 5244 5245 5246 5250 5251 5252\n",
            " 5253 5254 5255 5256 5257 5259 5260 5261 5265 5266 5268 5269 5270 5271\n",
            " 5272 5273 5274 5275 5276 5277 5281 5282 5283 5284 5285 5286 5287 5288\n",
            " 5289 5291 5292 5294 5295 5296 5298 5303 5304 5305 5306 5308 5309 5310\n",
            " 5312 5315 5316 5317 5320 5321 5323 5325 5326 5327 5328 5329 5330 5331\n",
            " 5332 5333 5334 5335 5336 5338 5339 5342 5343 5344 5345 5348 5349 5350\n",
            " 5352 5353 5354 5355 5356 5357 5358 5359 5360 5361 5362 5363 5364 5366\n",
            " 5367 5368 5369 5370 5371 5372 5373 5376 5377 5378 5379 5383 5385 5387\n",
            " 5388 5393 5395 5396 5397 5399 5400 5402 5404 5405 5406 5407 5408 5409\n",
            " 5410 5411 5412 5413 5414 5418 5419 5420 5421 5423 5424 5425 5427 5428\n",
            " 5429 5430 5431 5433 5434 5435 5436 5437 5438 5439 5440 5441 5442 5443\n",
            " 5444 5445 5446 5447 5448 5450 5453 5454 5456 5457 5460 5461 5462 5463\n",
            " 5464 5465 5466 5467 5470 5471 5472 5473 5475 5476 5477 5478 5479 5480\n",
            " 5483 5485 5487 5489 5491 5494 5495 5496 5498 5500 5501 5502 5506 5508\n",
            " 5509 5510 5511 5512 5513 5516 5517 5519 5522 5523 5525 5526 5527 5528\n",
            " 5529 5531 5533 5534 5536 5537 5538 5539 5540 5541 5542 5543 5544 5545\n",
            " 5546 5547 5549 5550 5551 5552 5553 5556 5557 5561 5563 5564 5565 5566\n",
            " 5570 5571 5573 5574 5575 5576 5578 5579 5580 5582 5583 5584 5585 5586\n",
            " 5588 5590 5591 5593 5594 5595 5596 5598 5599 5600 5601 5602 5603 5604\n",
            " 5606 5607 5608 5609 5610 5614 5615 5616 5617 5618 5621 5622 5623 5625\n",
            " 5626 5627 5628 5629 5630 5634 5635 5636 5637 5641 5642 5643 5644 5645\n",
            " 5647 5648 5650 5654]\n",
            "No, train set doesn't have elements of the validation set.\n",
            "\n",
            "IDX_TRAIN: [   0    1    2 ... 8438 8439 8440] IDX_VALIDATION: [3877 3879 3881 3882 3883 3885 3886 3887 3888 3895 3897 3898 3899 3902\n",
            " 3903 3906 3907 3909 3911 3912 3916 3918 3926 3927 3928 3929 3936 3937\n",
            " 3943 3946 3947 3948 3951 3955 3957 3958 3961 3967 3969 3970 3971 3973\n",
            " 3975 3977 3980 3981 3982 3983 3984 3985 3986 3987 3989 3994 3996 3997\n",
            " 3999 4000 4004 4007 4008 4009 4015 4018 4020 4022 4023 4026 4027 4029\n",
            " 4031 4032 4033 4034 4037 4047 4048 4049 4056 4061 4062 4063 4066 4069\n",
            " 4070 4072 4074 4075 4079 4080 4085 4087 4092 4093 4095 4096 4098 4099\n",
            " 4100 4101 4111 4112 4115 4116 4118 4119 4120 4125 4126 4130 4133 4138\n",
            " 4141 4145 4162 4163 4168 4169 4176 4177 4179 4183 4184 4185 4186 4188\n",
            " 4189 4194 4195 4196 4199 4202 4205 4207 4214 4218 4219 4220 4221 4223\n",
            " 4224 4225 4228 4237 4238 4239 4240 4242 4243 4244 4245 4247 4250 4251\n",
            " 4252 4253 4254 4255 4256 4262 4265 4266 4277 4278 4285 4286 4288 4298\n",
            " 4301 4302 4303 4304 4306 4307 4308 4309 4310 4311 4312 4313 4314 4316\n",
            " 4317 4324 4326 4332 4333 4340 4341 4342 4343 4344 4345 4346 4347 4348\n",
            " 4351 4352 4353 4355 4356 4357 4358 4359 4362 4363 4364 4366 4374 4375\n",
            " 4376 4377 4378 4379 4380 4381 4394 4395 4401 4402 4404 4405 4410 4415\n",
            " 4416 4417 4419 4421 4424 4427 4430 4433 4440 4441 4444 4445 4446 4450\n",
            " 4452 4453 4455 4457 4464 4465 4466 4470 4475 4477 4478 4479 4483 4485\n",
            " 4496 4500 4502 4503 4521 4537 4556 4562 4563 4564 5655 5657 5658 5659\n",
            " 5660 5661 5662 5663 5664 5669 5671 5672 5674 5677 5678 5679 5680 5682\n",
            " 5686 5688 5689 5691 5692 5694 5696 5697 5700 5702 5704 5705 5707 5708\n",
            " 5710 5711 5712 5714 5715 5719 5722 5723 5724 5725 5726 5727 5728 5730\n",
            " 5731 5734 5735 5741 5742 5744 5745 5746 5747 5748 5750 5751 5753 5754\n",
            " 5756 5758 5760 5761 5764 5767 5769 5770 5771 5773 5774 5776 5778 5779\n",
            " 5780 5782 5783 5784 5785 5786 5787 5788 5789 5791 5792 5795 5796 5797\n",
            " 5798 5799 5801 5803 5805 5806 5809 5815 5816 5817 5818 5819 5820 5827\n",
            " 5830 5832 5835 5836 5838 5839 5840 5841 5842 5843 5845 5846 5848 5849\n",
            " 5850 5853 5854 5855 5856 5857 5859 5860 5864 5865 5867 5869 5870 5871\n",
            " 5872 5875 5876 5877 5879 5881 5882 5883 5884 5886 5889 5891 5893 5894\n",
            " 5897 5898 5900 5902 5903 5904 5905 5906 5908 5909 5911 5914 5915 5917\n",
            " 5918 5919 5920 5921 5922 5925 5926 5927 5930 5931 5932 5935 5939 5940\n",
            " 5941 5942 5945 5946 5947 5948 5949 5950 5955 5957 5958 5960 5962 5963\n",
            " 5966 5967 5969 5971 5974 5975 5976 5979 5980 5981 5984 5986 5987 5988\n",
            " 5990 5994 5995 5996 5997 5998 6000 6003 6005 6006 6007 6008 6009 6010\n",
            " 6011 6012 6014 6016 6017 6018 6019 6021 6022 6023 6024 6025 6026 6028\n",
            " 6029 6030 6031 6032 6033 6034 6038 6043 6044 6045 6046 6048 6049 6050\n",
            " 6051 6052 6053 6055 6057 6058 6059 6060 6061 6062 6063 6064 6065 6066\n",
            " 6067 6068 6073 6074 6078 6079 6080 6082 6084 6085 6087 6088 6091 6092\n",
            " 6093 6095 6096 6097 6098 6101 6104 6105 6106 6107 6108 6109 6111 6112\n",
            " 6116 6123 6125 6126 6127 6129 6130 6133 6134 6139 6140 6141 6144 6145\n",
            " 6146 6147 6148 6150 6153 6154 6155 6157 6158 6159 6161 6162 6163 6168\n",
            " 6169 6170 6171 6172 6173 6175 6176 6178 6180 6181 6182 6183 6184 6185\n",
            " 6186 6187 6188 6189 6193 6195 6196 6198 6199 6200 6201 6202 6203 6204\n",
            " 6206 6207 6209 6210 6211 6212 6213 6216 6217 6218 6219 6221 6222 6223\n",
            " 6224 6226 6227 6228 6229 6230 6231 6233 6237 6238 6240 6242 6244 6245\n",
            " 6247 6250 6251 6252 6253 6254 6255 6259 6261 6262 6263 6265 6268 6269\n",
            " 6270 6271 6274 6276 6279 6280 6281 6283 6285 6286 6287 6288 6289 6290\n",
            " 6291 6293 6294 6296 6298 6304 6306 6310 6311 6312 6313 6315 6317 6318\n",
            " 6319 6325 6327 6331 6336 6341 6343 6344 6346 6347 6349 6350 6351 6352\n",
            " 6356 6358 6359 6360 6361 6362 6365 6366 6367 6368 6370 6371 6372 6374\n",
            " 6378 6379 6380 6381 6383 6384 6385 6387 6390 6392 6393 6394 6395 6399\n",
            " 6400 6403 6404 6405 6407 6409 6410 6411 6412 6414 6419 6420 6421 6425\n",
            " 6426 6427 6428 6430 6435 6436 6437 6438 6440 6441 6442 6443 6446 6447\n",
            " 6449 6453 6458 6459 6460 6461 6463 6464 6466 6467 6469 6470 6471 6474\n",
            " 6478 6479 6480 6482 6483 6485 6487 6488 6489 6494 6495 6496 6497 6498\n",
            " 6499 6501 6502 6503 6506 6507 6508 6509 6513 6515 6516 6518 6520 6521\n",
            " 6522 6526 6531 6532 6534 6535 6540 6541 6542 6545 6546 6548 6550 6553\n",
            " 6554 6555 6556 6557 6560 6561 6562 6564 6567 6568 6569 6571 6573 6574\n",
            " 6575 6576 6581 6582 6585 6586 6588 6589 6591 6594 6595 6596 6597 6600\n",
            " 6601 6607 6608 6609 6610 6611 6616 6618 6619 6623 6625 6628 6630 6631\n",
            " 6633 6634 6635 6636]\n",
            "No, train set doesn't have elements of the validation set.\n",
            "\n",
            "IDX_TRAIN: [   0    1    2 ... 8438 8439 8440] IDX_VALIDATION: [4566 4574 4575 4576 4577 4579 4581 4582 4590 4593 4598 4608 4609 4610\n",
            " 4620 4627 4628 4630 4634 4641 4646 4647 4655 4656 4658 4663 4664 4666\n",
            " 4671 4690 4693 4700 4705 4707 4708 4711 4716 4717 4718 4727 4728 4731\n",
            " 4735 4737 4747 4748 4749 4753 4754 4755 4756 4761 4762 4763 4766 4775\n",
            " 4780 4784 4785 4790 4791 4792 4798 4800 4801 4803 4804 4808 4812 4814\n",
            " 4818 4824 4825 4835 4836 4837 4843 4852 4859 4860 4864 4865 4880 4881\n",
            " 4884 4887 4889 4890 4893 4894 4895 4903 4906 4908 4909 4911 4912 4913\n",
            " 4914 4915 4918 4919 4922 4923 4924 4927 4936 4940 4943 4947 4948 4949\n",
            " 4963 4964 4968 4969 4971 4973 4974 4979 4980 4981 4983 4984 4986 4987\n",
            " 4991 4993 4995 4996 4999 5003 5005 5011 5012 5023 5024 5028 5029 5037\n",
            " 5039 5040 5043 5046 5056 5059 5060 5068 5069 5070 5071 5075 5076 5077\n",
            " 5079 5080 5086 5087 5088 5093 5096 5097 5098 5104 5107 5108 5109 5116\n",
            " 5118 5119 5120 5124 5126 5128 5129 5130 5131 5138 5145 5149 5151 5159\n",
            " 5160 5168 5169 5175 5179 5181 5183 5184 5192 5194 5195 5198 5199 5203\n",
            " 5204 5208 5209 5212 5213 5214 5216 5228 5230 5234 5235 5247 5248 5249\n",
            " 5258 5262 5263 5264 5267 5278 5279 5280 5290 5293 5297 5299 5300 5301\n",
            " 5302 5307 5311 5313 5314 5318 5319 5322 5324 5337 5340 5341 5346 5347\n",
            " 5351 5365 5374 5375 5380 5381 5382 5384 5386 5389 5390 5391 5392 5394\n",
            " 5398 5401 5403 5415 5416 5417 5422 5426 5432 5449 6643 6645 6646 6647\n",
            " 6649 6654 6655 6656 6657 6658 6659 6660 6663 6664 6666 6667 6668 6671\n",
            " 6672 6673 6675 6676 6679 6681 6683 6684 6687 6688 6689 6690 6691 6694\n",
            " 6696 6697 6698 6701 6702 6703 6704 6707 6708 6710 6711 6712 6713 6715\n",
            " 6716 6718 6721 6722 6725 6728 6730 6731 6733 6735 6739 6742 6743 6745\n",
            " 6746 6747 6748 6749 6750 6751 6752 6753 6754 6755 6756 6757 6758 6759\n",
            " 6760 6761 6762 6763 6764 6765 6766 6767 6768 6769 6770 6771 6772 6773\n",
            " 6774 6775 6776 6777 6778 6779 6780 6781 6782 6783 6784 6785 6786 6787\n",
            " 6788 6789 6790 6791 6792 6793 6794 6795 6796 6797 6798 6799 6800 6801\n",
            " 6802 6803 6804 6805 6806 6807 6808 6809 6810 6811 6812 6813 6814 6815\n",
            " 6816 6817 6818 6819 6820 6821 6822 6823 6824 6825 6826 6827 6828 6829\n",
            " 6830 6831 6832 6833 6834 6835 6836 6837 6838 6839 6840 6841 6842 6843\n",
            " 6844 6845 6846 6847 6848 6849 6850 6851 6852 6853 6854 6855 6856 6857\n",
            " 6858 6859 6860 6861 6862 6863 6864 6865 6866 6867 6868 6869 6870 6871\n",
            " 6872 6873 6874 6875 6876 6877 6878 6879 6880 6881 6882 6883 6884 6885\n",
            " 6886 6887 6888 6889 6890 6891 6892 6893 6894 6895 6896 6897 6898 6899\n",
            " 6900 6901 6902 6903 6904 6905 6906 6907 6908 6909 6910 6911 6912 6913\n",
            " 6914 6915 6916 6917 6918 6919 6920 6921 6922 6923 6924 6925 6926 6927\n",
            " 6928 6929 6930 6931 6932 6933 6934 6935 6936 6937 6938 6939 6940 6941\n",
            " 6942 6943 6944 6945 6946 6947 6948 6949 6950 6951 6952 6953 6954 6955\n",
            " 6956 6957 6958 6959 6960 6961 6962 6963 6964 6965 6966 6967 6968 6969\n",
            " 6970 6971 6972 6973 6974 6975 6976 6977 6978 6979 6980 6981 6982 6983\n",
            " 6984 6985 6986 6987 6988 6989 6990 6991 6992 6993 6994 6995 6996 6997\n",
            " 6998 6999 7000 7001 7002 7003 7004 7005 7006 7007 7008 7009 7010 7011\n",
            " 7012 7013 7014 7015 7016 7017 7018 7019 7020 7021 7022 7023 7024 7025\n",
            " 7026 7027 7028 7029 7030 7031 7032 7033 7034 7035 7036 7037 7038 7039\n",
            " 7040 7041 7042 7043 7044 7045 7046 7047 7048 7049 7050 7051 7052 7053\n",
            " 7055 7056 7057 7058 7059 7060 7061 7062 7063 7064 7065 7066 7067 7068\n",
            " 7069 7070 7071 7072 7073 7075 7076 7077 7078 7079 7080 7081 7082 7083\n",
            " 7084 7085 7086 7087 7088 7089 7090 7091 7092 7093 7094 7095 7096 7097\n",
            " 7098 7099 7100 7101 7102 7103 7104 7105 7106 7108 7109 7110 7111 7112\n",
            " 7113 7114 7115 7116 7117 7118 7119 7120 7121 7122 7123 7124 7125 7126\n",
            " 7127 7128 7129 7130 7131 7132 7133 7134 7135 7136 7137 7138 7139 7140\n",
            " 7141 7142 7143 7144 7145 7146 7147 7148 7149 7150 7151 7152 7153 7154\n",
            " 7155 7156 7157 7158 7159 7160 7161 7162 7163 7164 7165 7166 7167 7168\n",
            " 7169 7170 7171 7172 7173 7174 7175 7176 7177 7178 7179 7180 7181 7182\n",
            " 7183 7184 7185 7186 7187 7188 7189 7190 7191 7192 7193 7194 7195 7196\n",
            " 7197 7198 7199 7200 7201 7202 7203 7204 7205 7206 7207 7208 7209 7210\n",
            " 7211 7212 7213 7214 7215 7216 7217 7218 7219 7220 7221 7222 7223 7224\n",
            " 7225 7226 7227 7228 7229 7230 7231 7232 7233 7234 7235 7236 7237 7238\n",
            " 7239 7240 7241 7242 7243 7244 7245 7246 7247 7248 7249 7250 7251 7252\n",
            " 7253 7254 7255 7256 7257 7258 7259 7260 7261 7262 7263 7264 7265 7266\n",
            " 7267 7268 7269 7270]\n",
            "No, train set doesn't have elements of the validation set.\n",
            "\n",
            "IDX_TRAIN: [   0    1    2 ... 8438 8439 8440] IDX_VALIDATION: [5451 5452 5455 5458 5459 5468 5469 5474 5481 5482 5484 5486 5488 5490\n",
            " 5492 5493 5497 5499 5503 5504 5505 5507 5514 5515 5518 5520 5521 5524\n",
            " 5530 5532 5535 5548 5554 5555 5558 5559 5560 5562 5567 5568 5569 5572\n",
            " 5577 5581 5587 5589 5592 5597 5605 5611 5612 5613 5619 5620 5624 5631\n",
            " 5632 5633 5638 5639 5640 5646 5649 5651 5652 5653 5656 5665 5666 5667\n",
            " 5668 5670 5673 5675 5676 5681 5683 5684 5685 5687 5690 5693 5695 5698\n",
            " 5699 5701 5703 5706 5709 5713 5716 5717 5718 5720 5721 5729 5732 5733\n",
            " 5736 5737 5738 5739 5740 5743 5749 5752 5755 5757 5759 5762 5763 5765\n",
            " 5766 5768 5772 5775 5777 5781 5790 5793 5794 5800 5802 5804 5807 5808\n",
            " 5810 5811 5812 5813 5814 5821 5822 5823 5824 5825 5826 5828 5829 5831\n",
            " 5833 5834 5837 5844 5847 5851 5852 5858 5861 5862 5863 5866 5868 5873\n",
            " 5874 5878 5880 5885 5887 5888 5890 5892 5895 5896 5899 5901 5907 5910\n",
            " 5912 5913 5916 5923 5924 5928 5929 5933 5934 5936 5937 5938 5943 5944\n",
            " 5951 5952 5953 5954 5956 5959 5961 5964 5965 5968 5970 5972 5973 5977\n",
            " 5978 5982 5983 5985 5989 5991 5992 5993 5999 6001 6002 6004 6013 6015\n",
            " 6020 6027 6035 6036 6037 6039 6040 6041 6042 6047 6054 6056 6069 6070\n",
            " 6071 6072 6075 6076 6077 6081 6083 6086 6089 6090 6094 6099 6100 6102\n",
            " 6103 6110 6113 6114 6115 6117 6118 6119 6120 6121 6122 6124 6128 6131\n",
            " 6132 6135 6136 6137 6138 6142 6143 6149 6151 6152 7271 7272 7273 7274\n",
            " 7275 7276 7277 7278 7279 7280 7281 7282 7283 7284 7285 7286 7287 7288\n",
            " 7289 7290 7291 7292 7293 7294 7295 7296 7297 7298 7299 7300 7301 7302\n",
            " 7303 7304 7305 7306 7307 7308 7309 7310 7311 7312 7313 7314 7316 7317\n",
            " 7318 7319 7320 7321 7322 7323 7324 7325 7326 7327 7328 7329 7330 7331\n",
            " 7332 7333 7334 7335 7336 7337 7338 7339 7340 7341 7342 7343 7344 7345\n",
            " 7346 7347 7348 7349 7350 7351 7352 7353 7354 7355 7356 7357 7358 7359\n",
            " 7360 7361 7362 7363 7364 7365 7366 7367 7368 7369 7370 7371 7372 7373\n",
            " 7374 7375 7376 7377 7378 7379 7380 7381 7382 7383 7384 7385 7386 7387\n",
            " 7388 7389 7390 7391 7392 7393 7394 7395 7396 7397 7398 7399 7400 7401\n",
            " 7402 7403 7404 7405 7406 7407 7408 7409 7410 7411 7412 7413 7414 7415\n",
            " 7416 7417 7418 7419 7420 7421 7422 7423 7424 7425 7426 7427 7428 7429\n",
            " 7430 7431 7432 7433 7434 7435 7436 7437 7438 7439 7440 7441 7442 7443\n",
            " 7444 7445 7447 7448 7449 7450 7451 7452 7453 7454 7455 7456 7457 7458\n",
            " 7459 7460 7461 7462 7463 7464 7465 7466 7467 7468 7469 7470 7471 7472\n",
            " 7473 7474 7475 7476 7477 7478 7479 7480 7481 7482 7483 7484 7485 7487\n",
            " 7488 7489 7490 7491 7492 7493 7494 7495 7496 7497 7498 7499 7500 7501\n",
            " 7502 7503 7504 7505 7506 7507 7508 7509 7510 7511 7512 7513 7514 7515\n",
            " 7516 7517 7518 7519 7520 7521 7522 7523 7524 7525 7526 7527 7528 7529\n",
            " 7530 7531 7532 7533 7534 7535 7536 7537 7538 7539 7540 7541 7542 7543\n",
            " 7544 7545 7546 7547 7548 7549 7550 7551 7552 7553 7554 7555 7556 7557\n",
            " 7558 7559 7560 7561 7562 7563 7564 7565 7566 7567 7568 7569 7570 7571\n",
            " 7572 7573 7574 7575 7576 7577 7578 7579 7580 7581 7582 7583 7584 7585\n",
            " 7586 7587 7588 7589 7590 7591 7592 7593 7594 7595 7596 7597 7598 7599\n",
            " 7600 7601 7602 7603 7604 7605 7606 7607 7608 7609 7610 7611 7612 7613\n",
            " 7614 7615 7616 7617 7618 7619 7620 7621 7622 7623 7624 7625 7626 7627\n",
            " 7628 7629 7630 7631 7632 7633 7634 7635 7636 7637 7638 7639 7640 7641\n",
            " 7642 7643 7644 7645 7646 7647 7648 7649 7650 7651 7652 7653 7654 7655\n",
            " 7656 7657 7658 7659 7660 7661 7662 7663 7664 7665 7666 7667 7668 7669\n",
            " 7670 7671 7672 7673 7674 7675 7676 7677 7678 7679 7680 7681 7682 7683\n",
            " 7684 7686 7687 7688 7689 7690 7691 7692 7693 7694 7695 7696 7697 7698\n",
            " 7699 7700 7701 7702 7703 7704 7705 7706 7707 7708 7709 7710 7711 7712\n",
            " 7713 7714 7715 7716 7717 7718 7719 7720 7721 7722 7723 7724 7725 7726\n",
            " 7727 7728 7729 7730 7731 7732 7733 7734 7735 7737 7738 7739 7740 7741\n",
            " 7742 7743 7744 7745 7746 7747 7748 7749 7750 7751 7752 7753 7755 7756\n",
            " 7757 7758 7759 7760 7761 7762 7763 7764 7765 7766 7767 7768 7769 7770\n",
            " 7771 7772 7773 7774 7775 7776 7777 7778 7779 7780 7781 7782 7783 7784\n",
            " 7785 7786 7787 7788 7789 7790 7791 7792 7793 7794 7795 7796 7797 7798\n",
            " 7799 7800 7801 7802 7803 7804 7805 7806 7807 7808 7809 7810 7811 7812\n",
            " 7813 7814 7815 7816 7817 7818 7819 7820 7821 7822 7823 7824 7825 7826\n",
            " 7827 7828 7829 7830 7831 7832 7833 7834 7835 7836 7837 7838 7839 7840\n",
            " 7841 7842 7843 7844 7845 7846 7847 7848 7849 7850 7851 7852 7853 7854\n",
            " 7855 7856 7857 7858]\n",
            "No, train set doesn't have elements of the validation set.\n",
            "\n",
            "IDX_TRAIN: [   0    1    2 ... 7856 7857 7858] IDX_VALIDATION: [6156 6160 6164 6165 6166 6167 6174 6177 6179 6190 6191 6192 6194 6197\n",
            " 6205 6208 6214 6215 6220 6225 6232 6234 6235 6236 6239 6241 6243 6246\n",
            " 6248 6249 6256 6257 6258 6260 6264 6266 6267 6272 6273 6275 6277 6278\n",
            " 6282 6284 6292 6295 6297 6299 6300 6301 6302 6303 6305 6307 6308 6309\n",
            " 6314 6316 6320 6321 6322 6323 6324 6326 6328 6329 6330 6332 6333 6334\n",
            " 6335 6337 6338 6339 6340 6342 6345 6348 6353 6354 6355 6357 6363 6364\n",
            " 6369 6373 6375 6376 6377 6382 6386 6388 6389 6391 6396 6397 6398 6401\n",
            " 6402 6406 6408 6413 6415 6416 6417 6418 6422 6423 6424 6429 6431 6432\n",
            " 6433 6434 6439 6444 6445 6448 6450 6451 6452 6454 6455 6456 6457 6462\n",
            " 6465 6468 6472 6473 6475 6476 6477 6481 6484 6486 6490 6491 6492 6493\n",
            " 6500 6504 6505 6510 6511 6512 6514 6517 6519 6523 6524 6525 6527 6528\n",
            " 6529 6530 6533 6536 6537 6538 6539 6543 6544 6547 6549 6551 6552 6558\n",
            " 6559 6563 6565 6566 6570 6572 6577 6578 6579 6580 6583 6584 6587 6590\n",
            " 6592 6593 6598 6599 6602 6603 6604 6605 6606 6612 6613 6614 6615 6617\n",
            " 6620 6621 6622 6624 6626 6627 6629 6632 6637 6638 6639 6640 6641 6642\n",
            " 6644 6648 6650 6651 6652 6653 6661 6662 6665 6669 6670 6674 6677 6678\n",
            " 6680 6682 6685 6686 6692 6693 6695 6699 6700 6705 6706 6709 6714 6717\n",
            " 6719 6720 6723 6724 6726 6727 6729 6732 6734 6736 6737 6738 6740 6741\n",
            " 6744 7054 7074 7107 7315 7446 7486 7685 7736 7754 7859 7860 7861 7862\n",
            " 7863 7864 7865 7866 7867 7868 7869 7870 7871 7872 7873 7874 7875 7876\n",
            " 7877 7878 7879 7880 7881 7882 7883 7884 7885 7886 7887 7888 7889 7890\n",
            " 7891 7892 7893 7894 7895 7896 7897 7898 7899 7900 7901 7902 7903 7904\n",
            " 7905 7906 7907 7908 7909 7910 7911 7912 7913 7914 7915 7916 7917 7918\n",
            " 7919 7920 7921 7922 7923 7924 7925 7926 7927 7928 7929 7930 7931 7932\n",
            " 7933 7934 7935 7936 7937 7938 7939 7940 7941 7942 7943 7944 7945 7946\n",
            " 7947 7948 7949 7950 7951 7952 7953 7954 7955 7956 7957 7958 7959 7960\n",
            " 7961 7962 7963 7964 7965 7966 7967 7968 7969 7970 7971 7972 7973 7974\n",
            " 7975 7976 7977 7978 7979 7980 7981 7982 7983 7984 7985 7986 7987 7988\n",
            " 7989 7990 7991 7992 7993 7994 7995 7996 7997 7998 7999 8000 8001 8002\n",
            " 8003 8004 8005 8006 8007 8008 8009 8010 8011 8012 8013 8014 8015 8016\n",
            " 8017 8018 8019 8020 8021 8022 8023 8024 8025 8026 8027 8028 8029 8030\n",
            " 8031 8032 8033 8034 8035 8036 8037 8038 8039 8040 8041 8042 8043 8044\n",
            " 8045 8046 8047 8048 8049 8050 8051 8052 8053 8054 8055 8056 8057 8058\n",
            " 8059 8060 8061 8062 8063 8064 8065 8066 8067 8068 8069 8070 8071 8072\n",
            " 8073 8074 8075 8076 8077 8078 8079 8080 8081 8082 8083 8084 8085 8086\n",
            " 8087 8088 8089 8090 8091 8092 8093 8094 8095 8096 8097 8098 8099 8100\n",
            " 8101 8102 8103 8104 8105 8106 8107 8108 8109 8110 8111 8112 8113 8114\n",
            " 8115 8116 8117 8118 8119 8120 8121 8122 8123 8124 8125 8126 8127 8128\n",
            " 8129 8130 8131 8132 8133 8134 8135 8136 8137 8138 8139 8140 8141 8142\n",
            " 8143 8144 8145 8146 8147 8148 8149 8150 8151 8152 8153 8154 8155 8156\n",
            " 8157 8158 8159 8160 8161 8162 8163 8164 8165 8166 8167 8168 8169 8170\n",
            " 8171 8172 8173 8174 8175 8176 8177 8178 8179 8180 8181 8182 8183 8184\n",
            " 8185 8186 8187 8188 8189 8190 8191 8192 8193 8194 8195 8196 8197 8198\n",
            " 8199 8200 8201 8202 8203 8204 8205 8206 8207 8208 8209 8210 8211 8212\n",
            " 8213 8214 8215 8216 8217 8218 8219 8220 8221 8222 8223 8224 8225 8226\n",
            " 8227 8228 8229 8230 8231 8232 8233 8234 8235 8236 8237 8238 8239 8240\n",
            " 8241 8242 8243 8244 8245 8246 8247 8248 8249 8250 8251 8252 8253 8254\n",
            " 8255 8256 8257 8258 8259 8260 8261 8262 8263 8264 8265 8266 8267 8268\n",
            " 8269 8270 8271 8272 8273 8274 8275 8276 8277 8278 8279 8280 8281 8282\n",
            " 8283 8284 8285 8286 8287 8288 8289 8290 8291 8292 8293 8294 8295 8296\n",
            " 8297 8298 8299 8300 8301 8302 8303 8304 8305 8306 8307 8308 8309 8310\n",
            " 8311 8312 8313 8314 8315 8316 8317 8318 8319 8320 8321 8322 8323 8324\n",
            " 8325 8326 8327 8328 8329 8330 8331 8332 8333 8334 8335 8336 8337 8338\n",
            " 8339 8340 8341 8342 8343 8344 8345 8346 8347 8348 8349 8350 8351 8352\n",
            " 8353 8354 8355 8356 8357 8358 8359 8360 8361 8362 8363 8364 8365 8366\n",
            " 8367 8368 8369 8370 8371 8372 8373 8374 8375 8376 8377 8378 8379 8380\n",
            " 8381 8382 8383 8384 8385 8386 8387 8388 8389 8390 8391 8392 8393 8394\n",
            " 8395 8396 8397 8398 8399 8400 8401 8402 8403 8404 8405 8406 8407 8408\n",
            " 8409 8410 8411 8412 8413 8414 8415 8416 8417 8418 8419 8420 8421 8422\n",
            " 8423 8424 8425 8426 8427 8428 8429 8430 8431 8432 8433 8434 8435 8436\n",
            " 8437 8438 8439 8440]\n",
            "No, train set doesn't have elements of the validation set.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "MvUwWtIXM4wE",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "ff511ee6-dae3-4be7-cada-fdfd559e51d4"
      },
      "source": [
        "skfold = SKFold(n_splits=10, random_state=None, shuffle=False)\n",
        "\n",
        "k = 0\n",
        "for train_index, valid_index in skfold.split(features, allClasses):\n",
        "    print(\"\\nIDX_TRAIN:\", train_index, \"IDX_VALIDATION:\", valid_index)\n",
        "    check = any(elem in train_index for elem in valid_index)\n",
        "    \n",
        "    if check is True:\n",
        "        print(\"The list {} contains any elements of the list {}\".format(List1, List2))    \n",
        "    else :\n",
        "        print(\"No, List1 doesn't have any elements of the List2.\")\n",
        "    \n",
        "    k=k+1"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "\n",
            "IDX_TRAIN: [ 403  412  418 ... 8438 8439 8440] IDX_VALIDATION: [   0    1    2    3    4    5    6    7    8    9   10   11   12   13\n",
            "   14   15   16   17   18   19   20   21   22   23   24   25   26   27\n",
            "   28   29   30   31   32   33   34   35   36   37   38   39   40   41\n",
            "   42   43   44   45   46   47   48   49   50   51   52   53   54   55\n",
            "   56   57   58   59   60   61   62   63   64   65   66   67   68   69\n",
            "   70   71   72   73   74   75   76   77   78   79   80   81   82   83\n",
            "   84   85   86   87   88   89   90   91   92   93   94   95   96   97\n",
            "   98   99  100  101  102  103  104  105  106  107  108  109  110  111\n",
            "  112  113  114  115  116  117  118  119  120  121  122  123  124  125\n",
            "  126  127  128  129  130  131  132  133  134  135  136  137  138  139\n",
            "  140  141  142  143  144  145  146  147  148  149  150  151  152  153\n",
            "  154  155  156  157  158  159  160  161  162  163  164  165  166  167\n",
            "  168  169  170  171  172  173  174  175  176  177  178  179  180  181\n",
            "  182  183  184  185  186  187  188  189  190  191  192  193  194  195\n",
            "  196  197  198  199  200  201  202  203  204  205  206  207  208  209\n",
            "  210  211  212  213  214  215  216  217  218  219  220  221  222  223\n",
            "  224  225  226  227  228  229  230  231  232  233  234  235  236  237\n",
            "  238  239  240  241  242  243  244  245  246  247  248  249  250  251\n",
            "  252  253  254  255  256  257  258  259  260  261  262  263  264  265\n",
            "  266  267  268  269  270  271  272  273  274  275  276  277  278  279\n",
            "  280  281  282  283  284  285  286  287  288  289  290  291  292  293\n",
            "  294  295  296  297  298  299  300  301  302  303  304  305  306  307\n",
            "  308  309  310  311  312  313  314  315  316  317  318  319  320  321\n",
            "  322  323  324  325  326  327  328  329  330  331  332  333  334  335\n",
            "  336  337  338  339  340  341  342  343  344  345  346  347  348  349\n",
            "  350  351  352  353  354  355  356  357  358  359  360  361  362  363\n",
            "  364  365  366  367  368  369  370  371  372  373  374  375  376  377\n",
            "  378  379  380  381  382  383  384  385  386  387  388  389  390  391\n",
            "  392  393  394  395  396  397  398  399  400  401  402  404  405  406\n",
            "  407  408  409  410  411  413  414  415  416  417  419  420  421  422\n",
            "  424  426  428  430  435  436  437  438  440  441  443  445  446  448\n",
            "  449  451  452  456  457  458  459  462  464  465  466  467  468  469\n",
            "  472  473  474  475  476  478  483  484  485  491  492  493  494  495\n",
            "  496  498  500  502  503  506  507  509  510  512  513  515  516  518\n",
            "  519  520  523  524  525  526  527  528  529  533  534  536  537  538\n",
            "  540  541  542  543  545  546  550  552  554  557  558  559  561  562\n",
            "  563  565  566  569  570  571  577  578  581  585  586  588  589  591\n",
            "  595  596  597  599  603  605  606  607  608  610  611  612  613  614\n",
            "  615  618  619  620  622  623  624  625  628  630  632  633  634  635\n",
            "  636  637  640  641  643  644  645  647  649  650  651  654  660  661\n",
            "  662  663  664  666  667  670  671  673  674  675  676  677  678  679\n",
            "  681  683  689  691  697  700  701  702  703  704  705  706  708  711\n",
            "  716  719  720  721  722  725  726  729  730  733  734  736  738  739\n",
            "  742  743  744  745  746  747  748  750  751  753  754  755  757  758\n",
            "  759  761  764  766  767  768  769  771  772  774  779  780  781  782\n",
            "  784  785  787  790  792  793  795  797  798  799  801  802  806  807\n",
            "  809  810  813  814  815  816  822  824  825  826  827  832  833  836\n",
            "  837  838  840  844  845  846  847  850  853  855  862  865  872  873\n",
            "  874  875  876  877  880  882  883  884  886  887  888  893  894  895\n",
            "  899  903  904  905  906  907  908  910  911  914  915  919  923  924\n",
            "  925  927  928  930  931  932  933  935  936  945  947  948  949  951\n",
            "  954  955  956  957  958  960  961  962  963  964  966  969  970  972\n",
            "  973  974  976  978  979  980  983  984  985  986  987  988  991  995\n",
            " 1000 1003 1005 1006 1008 1009 1010 1011 1012 1013 1014 1015 1017 1018\n",
            " 1020 1021 1023 1028 1029 1036 1038 1039 1040 1041 1045 1047 1048 1049\n",
            " 1050 1051 1055 1059 1060 1061 1063 1064 1067 1069 1071 1073 1074 1075\n",
            " 1076 1077 1079 1080 1081 1082 1083 1084 1086 1088 1089 1090 1091 1092\n",
            " 1095 1096 1099 1100 1102 1104 1106 1109 1111 1112 1115 1117 1118 1119\n",
            " 1120 1124 1125 1129 1130 1131 1132 1133 1135 1139 1140 1143 1144 1147\n",
            " 1148 1149 1150 1151 1153 1155 1156 1157 1158 1160 1161 1162 1166 1168\n",
            " 1171 1173 1174 1176 1177]\n",
            "No, List1 doesn't have any elements of the List2.\n",
            "\n",
            "IDX_TRAIN: [   0    1    2 ... 8438 8439 8440] IDX_VALIDATION: [ 403  412  418  423  425  427  429  431  432  433  434  439  442  444\n",
            "  447  450  453  454  455  460  461  463  470  471  477  479  480  481\n",
            "  482  486  487  488  489  490  497  499  501  504  505  508  511  514\n",
            "  517  521  522  530  531  532  535  539  544  547  548  549  551  553\n",
            "  555  556  560  564  567  568  572  573  574  575  576  579  580  582\n",
            "  583  584  587  590  592  593  594  598  600  601  602  604  609  616\n",
            "  617  621  626  627  629  631  638  639  642  646  648  652  653  655\n",
            "  656  657  658  659  665  668  669  672  680  682  684  685  686  687\n",
            "  688  690  692  693  694  695  696  698  699  707  709  710  712  713\n",
            "  714  715  717  718  723  724  727  728  731  732  735  737  740  741\n",
            "  749  752  756  760  762  763  765  770  773  775  776  777  778  783\n",
            "  786  788  789  791  794  796  800  803  804  805  808  811  812  817\n",
            "  818  819  820  821  823  828  829  830  831  834  835  839  841  842\n",
            "  843  848  849  851  852  854  856  857  858  859  860  861  863  864\n",
            "  866  867  868  869  870  871  878  879  881  885  889  890  891  892\n",
            "  896  897  898  900  901  902  909  912  913  916  917  918  920  921\n",
            "  922  926  929  934  937  938  939  940  941  942  943  944  946  950\n",
            "  952  953  959  965  967  968  971  975  977  981  982  989  990  992\n",
            "  993  994  996  997  998  999 1001 1002 1004 1007 1016 1178 1179 1182\n",
            " 1183 1185 1187 1188 1189 1191 1192 1194 1197 1198 1199 1200 1202 1203\n",
            " 1209 1211 1212 1214 1215 1218 1219 1220 1222 1224 1225 1227 1228 1231\n",
            " 1232 1233 1234 1236 1237 1238 1239 1240 1241 1242 1245 1248 1249 1251\n",
            " 1252 1253 1255 1259 1260 1262 1267 1271 1272 1274 1278 1279 1280 1281\n",
            " 1282 1284 1285 1287 1291 1292 1293 1294 1295 1299 1300 1301 1307 1308\n",
            " 1309 1310 1311 1313 1315 1316 1318 1319 1323 1324 1325 1328 1331 1332\n",
            " 1333 1336 1337 1338 1340 1342 1343 1346 1348 1350 1351 1352 1353 1354\n",
            " 1355 1356 1357 1360 1362 1363 1364 1365 1368 1369 1370 1372 1373 1375\n",
            " 1376 1378 1381 1382 1383 1389 1390 1391 1392 1393 1396 1398 1399 1400\n",
            " 1401 1403 1405 1406 1407 1409 1410 1411 1413 1414 1415 1416 1417 1418\n",
            " 1419 1421 1422 1423 1425 1426 1427 1428 1429 1430 1431 1437 1438 1439\n",
            " 1440 1441 1442 1444 1445 1447 1448 1449 1452 1454 1455 1456 1458 1459\n",
            " 1462 1463 1464 1466 1469 1470 1472 1474 1475 1476 1478 1479 1481 1482\n",
            " 1483 1485 1492 1497 1499 1500 1501 1502 1503 1504 1506 1508 1509 1510\n",
            " 1511 1513 1514 1516 1517 1518 1520 1521 1522 1525 1527 1529 1530 1531\n",
            " 1532 1533 1535 1539 1541 1542 1543 1544 1545 1546 1547 1548 1550 1551\n",
            " 1552 1556 1557 1558 1559 1561 1563 1565 1566 1568 1569 1574 1575 1577\n",
            " 1578 1581 1583 1584 1585 1587 1588 1589 1592 1594 1595 1596 1597 1598\n",
            " 1599 1600 1603 1604 1606 1607 1610 1611 1613 1616 1618 1620 1622 1623\n",
            " 1624 1627 1628 1629 1631 1632 1634 1635 1641 1642 1643 1644 1645 1646\n",
            " 1650 1653 1654 1655 1656 1657 1658 1659 1660 1661 1662 1663 1664 1665\n",
            " 1666 1667 1668 1669 1671 1672 1673 1674 1675 1677 1678 1679 1685 1687\n",
            " 1692 1693 1694 1695 1697 1698 1699 1700 1701 1702 1704 1705 1706 1710\n",
            " 1711 1712 1713 1716 1718 1719 1722 1726 1727 1728 1729 1730 1731 1735\n",
            " 1736 1737 1738 1739 1740 1741 1742 1743 1747 1748 1749 1750 1754 1755\n",
            " 1756 1757 1758 1759 1760 1762 1763 1766 1767 1768 1772 1774 1776 1780\n",
            " 1781 1782 1783 1784 1786 1787 1789 1790 1794 1795 1796 1797 1798 1799\n",
            " 1800 1801 1802 1803 1804 1805 1806 1811 1813 1814 1815 1816 1817 1818\n",
            " 1819 1820 1823 1824 1825 1826 1828 1829 1830 1831 1833 1836 1837 1838\n",
            " 1842 1843 1844 1845 1847 1848 1849 1851 1852 1853 1855 1858 1861 1862\n",
            " 1863 1864 1865 1867 1868 1869 1874 1875 1876 1877 1878 1879 1880 1881\n",
            " 1883 1884 1885 1886 1888 1890 1893 1897 1898 1899 1900 1901 1902 1903\n",
            " 1904 1905 1906 1907 1908 1909 1910 1911 1912 1913 1914 1916 1917 1918\n",
            " 1919 1921 1923 1925 1930 1932 1934 1936 1937 1939 1942 1943 1944 1945\n",
            " 1946 1949 1950 1951 1952 1953 1955 1957 1958 1959 1960 1961 1962 1963\n",
            " 1964 1965 1966 1967 1968 1970 1971 1973 1975 1976 1978 1979 1980 1982\n",
            " 1983 1985 1986 1989 1991 1992 1994 1995 1996 1999 2000 2002 2003 2005\n",
            " 2006 2007 2008 2011 2012 2013 2014 2015 2017 2020 2021 2022 2024 2025\n",
            " 2026 2027 2028 2030 2031 2032 2037 2041 2042 2043 2044 2051 2052 2054\n",
            " 2057 2060 2061 2064 2065 2068 2069 2070 2071 2072 2075 2076 2078 2079\n",
            " 2081 2083 2084 2085 2086 2087 2088 2090 2091 2092 2093 2094 2095 2096\n",
            " 2097 2099 2100 2101]\n",
            "No, List1 doesn't have any elements of the List2.\n",
            "\n",
            "IDX_TRAIN: [   0    1    2 ... 8438 8439 8440] IDX_VALIDATION: [1019 1022 1024 1025 1026 1027 1030 1031 1032 1033 1034 1035 1037 1042\n",
            " 1043 1044 1046 1052 1053 1054 1056 1057 1058 1062 1065 1066 1068 1070\n",
            " 1072 1078 1085 1087 1093 1094 1097 1098 1101 1103 1105 1107 1108 1110\n",
            " 1113 1114 1116 1121 1122 1123 1126 1127 1128 1134 1136 1137 1138 1141\n",
            " 1142 1145 1146 1152 1154 1159 1163 1164 1165 1167 1169 1170 1172 1175\n",
            " 1180 1181 1184 1186 1190 1193 1195 1196 1201 1204 1205 1206 1207 1208\n",
            " 1210 1213 1216 1217 1221 1223 1226 1229 1230 1235 1243 1244 1246 1247\n",
            " 1250 1254 1256 1257 1258 1261 1263 1264 1265 1266 1268 1269 1270 1273\n",
            " 1275 1276 1277 1283 1286 1288 1289 1290 1296 1297 1298 1302 1303 1304\n",
            " 1305 1306 1312 1314 1317 1320 1321 1322 1326 1327 1329 1330 1334 1335\n",
            " 1339 1341 1344 1345 1347 1349 1358 1359 1361 1366 1367 1371 1374 1377\n",
            " 1379 1380 1384 1385 1386 1387 1388 1394 1395 1397 1402 1404 1408 1412\n",
            " 1420 1424 1432 1433 1434 1435 1436 1443 1446 1450 1451 1453 1457 1460\n",
            " 1461 1465 1467 1468 1471 1473 1477 1480 1484 1486 1487 1488 1489 1490\n",
            " 1491 1493 1494 1495 1496 1498 1505 1507 1512 1515 1519 1523 1524 1526\n",
            " 1528 1534 1536 1537 1538 1540 1549 1553 1554 1555 1560 1562 1564 1567\n",
            " 1570 1571 1572 1573 1576 1579 1580 1582 1586 1590 1591 1593 1601 1602\n",
            " 1605 1608 1609 1612 1614 1615 1617 1619 1621 1625 1626 1630 1633 1636\n",
            " 1637 1638 1639 1640 1647 1648 1649 1651 1652 1670 1676 2103 2104 2110\n",
            " 2112 2113 2116 2117 2120 2124 2128 2129 2132 2134 2135 2136 2137 2138\n",
            " 2139 2140 2142 2144 2146 2148 2149 2150 2151 2152 2153 2154 2157 2158\n",
            " 2159 2160 2161 2162 2163 2164 2165 2166 2167 2168 2170 2171 2174 2177\n",
            " 2178 2179 2183 2184 2185 2187 2192 2193 2194 2200 2202 2203 2205 2206\n",
            " 2207 2208 2209 2210 2212 2214 2217 2218 2219 2221 2223 2224 2227 2233\n",
            " 2234 2236 2240 2243 2244 2245 2246 2248 2254 2256 2257 2259 2261 2262\n",
            " 2263 2265 2266 2267 2268 2269 2270 2271 2272 2273 2274 2275 2276 2277\n",
            " 2279 2280 2281 2287 2288 2289 2291 2293 2294 2295 2296 2297 2298 2299\n",
            " 2300 2303 2304 2306 2307 2309 2310 2311 2312 2315 2316 2317 2318 2319\n",
            " 2321 2322 2323 2324 2325 2326 2327 2328 2329 2331 2332 2333 2334 2335\n",
            " 2336 2337 2339 2343 2344 2345 2346 2347 2348 2349 2351 2352 2353 2356\n",
            " 2357 2360 2362 2364 2365 2366 2368 2371 2372 2373 2377 2379 2380 2384\n",
            " 2385 2386 2387 2389 2390 2391 2392 2393 2394 2395 2396 2397 2400 2401\n",
            " 2402 2403 2406 2407 2408 2409 2410 2413 2415 2416 2418 2419 2421 2422\n",
            " 2423 2424 2425 2426 2428 2429 2430 2431 2432 2433 2434 2435 2436 2438\n",
            " 2439 2440 2443 2444 2445 2446 2447 2448 2450 2451 2452 2453 2454 2455\n",
            " 2460 2461 2462 2464 2465 2468 2470 2471 2472 2474 2476 2477 2478 2479\n",
            " 2480 2481 2482 2483 2485 2486 2489 2493 2495 2497 2498 2499 2500 2501\n",
            " 2502 2503 2507 2509 2512 2513 2515 2516 2517 2518 2521 2522 2524 2525\n",
            " 2527 2529 2531 2538 2539 2540 2542 2543 2544 2546 2547 2548 2549 2550\n",
            " 2551 2552 2555 2556 2557 2558 2559 2563 2564 2565 2567 2568 2573 2574\n",
            " 2575 2581 2583 2585 2586 2587 2588 2589 2590 2592 2593 2595 2598 2599\n",
            " 2601 2602 2603 2610 2611 2612 2613 2615 2616 2617 2619 2621 2622 2624\n",
            " 2626 2627 2629 2630 2631 2633 2634 2635 2636 2637 2638 2639 2640 2641\n",
            " 2646 2647 2648 2649 2651 2654 2655 2656 2657 2658 2659 2662 2665 2667\n",
            " 2668 2669 2671 2674 2675 2677 2678 2679 2681 2682 2684 2685 2686 2687\n",
            " 2688 2689 2690 2691 2693 2694 2696 2697 2698 2701 2704 2705 2709 2710\n",
            " 2711 2713 2715 2716 2717 2718 2720 2723 2724 2725 2728 2729 2731 2736\n",
            " 2737 2738 2742 2746 2748 2750 2751 2753 2754 2755 2757 2758 2759 2763\n",
            " 2764 2765 2766 2768 2769 2770 2772 2773 2774 2775 2779 2780 2782 2783\n",
            " 2784 2785 2786 2787 2788 2789 2790 2791 2795 2796 2797 2800 2803 2805\n",
            " 2806 2807 2809 2810 2811 2812 2813 2814 2815 2818 2819 2821 2822 2823\n",
            " 2824 2825 2827 2828 2830 2832 2833 2834 2836 2839 2840 2841 2843 2845\n",
            " 2846 2848 2849 2850 2852 2853 2855 2857 2858 2860 2861 2862 2863 2864\n",
            " 2865 2866 2868 2869 2871 2872 2873 2874 2875 2876 2877 2878 2880 2881\n",
            " 2882 2884 2889 2890 2893 2894 2896 2898 2899 2900 2901 2906 2908 2909\n",
            " 2910 2911 2912 2915 2917 2918 2919 2921 2922 2926 2928 2929 2931 2932\n",
            " 2934 2935 2937 2938 2939 2941 2946 2947 2948 2949 2950 2951 2952 2953\n",
            " 2955 2958 2959 2961 2962 2963 2964 2965 2968 2971 2972 2973 2974 2975\n",
            " 2976 2977 2978 2979 2980 2981 2982 2983 2984 2985 2986 2993 2994 2995\n",
            " 2996 2997 2998 2999 3000 3001 3002 3003 3004 3005 3007 3009 3010 3012\n",
            " 3013 3014 3015 3016]\n",
            "No, List1 doesn't have any elements of the List2.\n",
            "\n",
            "IDX_TRAIN: [   0    1    2 ... 8438 8439 8440] IDX_VALIDATION: [1680 1681 1682 1683 1684 1686 1688 1689 1690 1691 1696 1703 1707 1708\n",
            " 1709 1714 1715 1717 1720 1721 1723 1724 1725 1732 1733 1734 1744 1745\n",
            " 1746 1751 1752 1753 1761 1764 1765 1769 1770 1771 1773 1775 1777 1778\n",
            " 1779 1785 1788 1791 1792 1793 1807 1808 1809 1810 1812 1821 1822 1827\n",
            " 1832 1834 1835 1839 1840 1841 1846 1850 1854 1856 1857 1859 1860 1866\n",
            " 1870 1871 1872 1873 1882 1887 1889 1891 1892 1894 1895 1896 1915 1920\n",
            " 1922 1924 1926 1927 1928 1929 1931 1933 1935 1938 1940 1941 1947 1948\n",
            " 1954 1956 1969 1972 1974 1977 1981 1984 1987 1988 1990 1993 1997 1998\n",
            " 2001 2004 2009 2010 2016 2018 2019 2023 2029 2033 2034 2035 2036 2038\n",
            " 2039 2040 2045 2046 2047 2048 2049 2050 2053 2055 2056 2058 2059 2062\n",
            " 2063 2066 2067 2073 2074 2077 2080 2082 2089 2098 2102 2105 2106 2107\n",
            " 2108 2109 2111 2114 2115 2118 2119 2121 2122 2123 2125 2126 2127 2130\n",
            " 2131 2133 2141 2143 2145 2147 2155 2156 2169 2172 2173 2175 2176 2180\n",
            " 2181 2182 2186 2188 2189 2190 2191 2195 2196 2197 2198 2199 2201 2204\n",
            " 2211 2213 2215 2216 2220 2222 2225 2226 2228 2229 2230 2231 2232 2235\n",
            " 2237 2238 2239 2241 2242 2247 2249 2250 2251 2252 2253 2255 2258 2260\n",
            " 2264 2278 2282 2283 2284 2285 2286 2290 2292 2301 2302 2305 2308 2313\n",
            " 2314 2320 2330 2338 2340 2341 2342 2350 2354 2355 2358 2359 2361 2363\n",
            " 2367 2369 2370 2374 2375 2376 2378 2381 2382 2383 2388 3017 3018 3019\n",
            " 3020 3021 3022 3023 3024 3027 3028 3029 3032 3033 3035 3036 3038 3039\n",
            " 3040 3041 3042 3044 3053 3055 3056 3057 3058 3059 3060 3061 3062 3063\n",
            " 3065 3068 3070 3072 3074 3077 3078 3081 3083 3084 3085 3086 3087 3089\n",
            " 3090 3091 3092 3093 3094 3095 3096 3097 3098 3099 3100 3101 3102 3106\n",
            " 3107 3109 3111 3112 3113 3114 3115 3116 3117 3118 3119 3120 3121 3122\n",
            " 3123 3124 3126 3128 3129 3130 3134 3136 3137 3138 3139 3140 3141 3142\n",
            " 3143 3144 3145 3146 3148 3149 3151 3152 3153 3154 3155 3156 3160 3161\n",
            " 3163 3164 3165 3166 3168 3169 3170 3171 3172 3173 3177 3180 3182 3185\n",
            " 3186 3187 3189 3190 3191 3192 3193 3194 3195 3196 3197 3199 3202 3203\n",
            " 3204 3205 3206 3208 3209 3210 3211 3214 3215 3216 3218 3219 3221 3222\n",
            " 3223 3225 3226 3228 3229 3230 3231 3233 3234 3236 3237 3238 3239 3240\n",
            " 3241 3242 3246 3247 3248 3249 3250 3257 3264 3265 3266 3267 3268 3269\n",
            " 3270 3271 3272 3273 3274 3276 3277 3278 3280 3282 3283 3284 3285 3289\n",
            " 3290 3291 3293 3297 3298 3300 3301 3305 3306 3308 3310 3311 3312 3314\n",
            " 3316 3317 3318 3319 3320 3322 3323 3324 3325 3326 3327 3328 3329 3330\n",
            " 3331 3334 3335 3338 3339 3340 3341 3342 3343 3344 3346 3349 3350 3351\n",
            " 3352 3353 3355 3356 3358 3362 3363 3365 3366 3367 3368 3369 3370 3371\n",
            " 3372 3373 3375 3377 3380 3381 3382 3387 3388 3389 3390 3392 3393 3394\n",
            " 3395 3396 3397 3398 3401 3402 3403 3407 3410 3411 3412 3413 3414 3416\n",
            " 3417 3418 3419 3420 3421 3425 3428 3430 3431 3432 3435 3436 3438 3439\n",
            " 3443 3444 3445 3446 3448 3451 3452 3453 3454 3455 3458 3461 3463 3464\n",
            " 3465 3469 3471 3472 3473 3474 3475 3476 3478 3480 3481 3482 3483 3484\n",
            " 3486 3487 3489 3490 3491 3493 3494 3495 3496 3497 3498 3502 3503 3504\n",
            " 3505 3506 3507 3508 3509 3510 3512 3513 3514 3515 3517 3518 3519 3521\n",
            " 3523 3525 3527 3528 3529 3530 3531 3532 3533 3536 3538 3539 3540 3542\n",
            " 3548 3550 3551 3552 3558 3560 3562 3563 3564 3565 3566 3568 3570 3571\n",
            " 3572 3573 3574 3576 3577 3579 3580 3582 3583 3584 3587 3588 3589 3590\n",
            " 3591 3593 3597 3600 3602 3605 3606 3607 3608 3609 3610 3611 3612 3613\n",
            " 3615 3616 3617 3618 3619 3620 3622 3623 3624 3625 3627 3628 3631 3632\n",
            " 3633 3634 3637 3638 3639 3640 3641 3644 3645 3647 3648 3649 3650 3651\n",
            " 3653 3655 3657 3659 3660 3662 3663 3667 3672 3673 3674 3676 3678 3680\n",
            " 3681 3682 3683 3684 3685 3687 3688 3692 3693 3694 3695 3696 3697 3698\n",
            " 3699 3700 3702 3703 3704 3705 3706 3707 3708 3709 3711 3712 3715 3716\n",
            " 3717 3719 3720 3721 3722 3723 3726 3727 3728 3731 3732 3733 3735 3737\n",
            " 3738 3739 3740 3741 3742 3743 3745 3747 3749 3751 3752 3754 3755 3756\n",
            " 3759 3760 3762 3764 3765 3766 3767 3768 3769 3770 3775 3777 3780 3781\n",
            " 3782 3783 3784 3786 3787 3791 3793 3796 3797 3798 3799 3800 3802 3803\n",
            " 3805 3810 3811 3813 3814 3815 3818 3821 3822 3824 3825 3826 3827 3828\n",
            " 3829 3831 3834 3835 3836 3840 3842 3848 3849 3852 3854 3855 3858 3862\n",
            " 3867 3869 3871 3872 3873 3874 3875 3876 3878 3880 3884 3889 3890 3891\n",
            " 3892 3893 3894 3896 3900 3901 3904 3905 3908 3910 3913 3914 3915 3917\n",
            " 3919 3920 3921 3922]\n",
            "No, List1 doesn't have any elements of the List2.\n",
            "\n",
            "IDX_TRAIN: [   0    1    2 ... 8438 8439 8440] IDX_VALIDATION: [2398 2399 2404 2405 2411 2412 2414 2417 2420 2427 2437 2441 2442 2449\n",
            " 2456 2457 2458 2459 2463 2466 2467 2469 2473 2475 2484 2487 2488 2490\n",
            " 2491 2492 2494 2496 2504 2505 2506 2508 2510 2511 2514 2519 2520 2523\n",
            " 2526 2528 2530 2532 2533 2534 2535 2536 2537 2541 2545 2553 2554 2560\n",
            " 2561 2562 2566 2569 2570 2571 2572 2576 2577 2578 2579 2580 2582 2584\n",
            " 2591 2594 2596 2597 2600 2604 2605 2606 2607 2608 2609 2614 2618 2620\n",
            " 2623 2625 2628 2632 2642 2643 2644 2645 2650 2652 2653 2660 2661 2663\n",
            " 2664 2666 2670 2672 2673 2676 2680 2683 2692 2695 2699 2700 2702 2703\n",
            " 2706 2707 2708 2712 2714 2719 2721 2722 2726 2727 2730 2732 2733 2734\n",
            " 2735 2739 2740 2741 2743 2744 2745 2747 2749 2752 2756 2760 2761 2762\n",
            " 2767 2771 2776 2777 2778 2781 2792 2793 2794 2798 2799 2801 2802 2804\n",
            " 2808 2816 2817 2820 2826 2829 2831 2835 2837 2838 2842 2844 2847 2851\n",
            " 2854 2856 2859 2867 2870 2879 2883 2885 2886 2887 2888 2891 2892 2895\n",
            " 2897 2902 2903 2904 2905 2907 2913 2914 2916 2920 2923 2924 2925 2927\n",
            " 2930 2933 2936 2940 2942 2943 2944 2945 2954 2956 2957 2960 2966 2967\n",
            " 2969 2970 2987 2988 2989 2990 2991 2992 3006 3008 3011 3025 3026 3030\n",
            " 3031 3034 3037 3043 3045 3046 3047 3048 3049 3050 3051 3052 3054 3064\n",
            " 3066 3067 3069 3071 3073 3075 3076 3079 3080 3082 3088 3103 3104 3105\n",
            " 3108 3110 3125 3127 3131 3132 3133 3135 3147 3150 3923 3924 3925 3930\n",
            " 3931 3932 3933 3934 3935 3938 3939 3940 3941 3942 3944 3945 3949 3950\n",
            " 3952 3953 3954 3956 3959 3960 3962 3963 3964 3965 3966 3968 3972 3974\n",
            " 3976 3978 3979 3988 3990 3991 3992 3993 3995 3998 4001 4002 4003 4005\n",
            " 4006 4010 4011 4012 4013 4014 4016 4017 4019 4021 4024 4025 4028 4030\n",
            " 4035 4036 4038 4039 4040 4041 4042 4043 4044 4045 4046 4050 4051 4052\n",
            " 4053 4054 4055 4057 4058 4059 4060 4064 4065 4067 4068 4071 4073 4076\n",
            " 4077 4078 4081 4082 4083 4084 4086 4088 4089 4090 4091 4094 4097 4102\n",
            " 4103 4104 4105 4106 4107 4108 4109 4110 4113 4114 4117 4121 4122 4123\n",
            " 4124 4127 4128 4129 4131 4132 4134 4135 4136 4137 4139 4140 4142 4143\n",
            " 4144 4146 4147 4148 4149 4150 4151 4152 4153 4154 4155 4156 4157 4158\n",
            " 4159 4160 4161 4164 4165 4166 4167 4170 4171 4172 4173 4174 4175 4178\n",
            " 4180 4181 4182 4187 4190 4191 4192 4193 4197 4198 4200 4201 4203 4204\n",
            " 4206 4208 4209 4210 4211 4212 4213 4215 4216 4217 4222 4226 4227 4229\n",
            " 4230 4231 4232 4233 4234 4235 4236 4241 4246 4248 4249 4257 4258 4259\n",
            " 4260 4261 4263 4264 4267 4268 4269 4270 4271 4272 4273 4274 4275 4276\n",
            " 4279 4280 4281 4282 4283 4284 4287 4289 4290 4291 4292 4293 4294 4295\n",
            " 4296 4297 4299 4300 4305 4315 4318 4319 4320 4321 4322 4323 4325 4327\n",
            " 4328 4329 4330 4331 4334 4335 4336 4337 4338 4339 4349 4350 4354 4360\n",
            " 4361 4365 4367 4368 4369 4370 4371 4372 4373 4382 4383 4384 4385 4386\n",
            " 4387 4388 4389 4390 4391 4392 4393 4396 4397 4398 4399 4400 4403 4406\n",
            " 4407 4408 4409 4411 4412 4413 4414 4418 4420 4422 4423 4425 4426 4428\n",
            " 4429 4431 4432 4434 4435 4436 4437 4438 4439 4442 4443 4447 4448 4449\n",
            " 4451 4454 4456 4458 4459 4460 4461 4462 4463 4467 4468 4469 4471 4472\n",
            " 4473 4474 4476 4480 4481 4482 4484 4486 4487 4488 4489 4490 4491 4492\n",
            " 4493 4494 4495 4497 4498 4499 4501 4504 4505 4506 4507 4508 4509 4510\n",
            " 4511 4512 4513 4514 4515 4516 4517 4518 4519 4520 4522 4523 4524 4525\n",
            " 4526 4527 4528 4529 4530 4531 4532 4533 4534 4535 4536 4538 4539 4540\n",
            " 4541 4542 4543 4544 4545 4546 4547 4548 4549 4550 4551 4552 4553 4554\n",
            " 4555 4557 4558 4559 4560 4561 4565 4567 4568 4569 4570 4571 4572 4573\n",
            " 4578 4580 4583 4584 4585 4586 4587 4588 4589 4591 4592 4594 4595 4596\n",
            " 4597 4599 4600 4601 4602 4603 4604 4605 4606 4607 4611 4612 4613 4614\n",
            " 4615 4616 4617 4618 4619 4621 4622 4623 4624 4625 4626 4629 4631 4632\n",
            " 4633 4635 4636 4637 4638 4639 4640 4642 4643 4644 4645 4648 4649 4650\n",
            " 4651 4652 4653 4654 4657 4659 4660 4661 4662 4665 4667 4668 4669 4670\n",
            " 4672 4673 4674 4675 4676 4677 4678 4679 4680 4681 4682 4683 4684 4685\n",
            " 4686 4687 4688 4689 4691 4692 4694 4695 4696 4697 4698 4699 4701 4702\n",
            " 4703 4704 4706 4709 4710 4712 4713 4714 4715 4719 4720 4721 4722 4723\n",
            " 4724 4725 4726 4729 4730 4732 4733 4734 4736 4738 4739 4740 4741 4742\n",
            " 4743 4744 4745 4746 4750 4751 4752 4757 4758 4759 4760 4764 4765 4767\n",
            " 4768 4769 4770 4771 4772 4773 4774 4776 4777 4778 4779 4781 4782 4783\n",
            " 4786 4787 4788 4789 4793 4794 4795 4796 4797 4799 4802 4805 4806 4807\n",
            " 4809 4810 4811 4813]\n",
            "No, List1 doesn't have any elements of the List2.\n",
            "\n",
            "IDX_TRAIN: [   0    1    2 ... 8438 8439 8440] IDX_VALIDATION: [3157 3158 3159 3162 3167 3174 3175 3176 3178 3179 3181 3183 3184 3188\n",
            " 3198 3200 3201 3207 3212 3213 3217 3220 3224 3227 3232 3235 3243 3244\n",
            " 3245 3251 3252 3253 3254 3255 3256 3258 3259 3260 3261 3262 3263 3275\n",
            " 3279 3281 3286 3287 3288 3292 3294 3295 3296 3299 3302 3303 3304 3307\n",
            " 3309 3313 3315 3321 3332 3333 3336 3337 3345 3347 3348 3354 3357 3359\n",
            " 3360 3361 3364 3374 3376 3378 3379 3383 3384 3385 3386 3391 3399 3400\n",
            " 3404 3405 3406 3408 3409 3415 3422 3423 3424 3426 3427 3429 3433 3434\n",
            " 3437 3440 3441 3442 3447 3449 3450 3456 3457 3459 3460 3462 3466 3467\n",
            " 3468 3470 3477 3479 3485 3488 3492 3499 3500 3501 3511 3516 3520 3522\n",
            " 3524 3526 3534 3535 3537 3541 3543 3544 3545 3546 3547 3549 3553 3554\n",
            " 3555 3556 3557 3559 3561 3567 3569 3575 3578 3581 3585 3586 3592 3594\n",
            " 3595 3596 3598 3599 3601 3603 3604 3614 3621 3626 3629 3630 3635 3636\n",
            " 3642 3643 3646 3652 3654 3656 3658 3661 3664 3665 3666 3668 3669 3670\n",
            " 3671 3675 3677 3679 3686 3689 3690 3691 3701 3710 3713 3714 3718 3724\n",
            " 3725 3729 3730 3734 3736 3744 3746 3748 3750 3753 3757 3758 3761 3763\n",
            " 3771 3772 3773 3774 3776 3778 3779 3785 3788 3789 3790 3792 3794 3795\n",
            " 3801 3804 3806 3807 3808 3809 3812 3816 3817 3819 3820 3823 3830 3832\n",
            " 3833 3837 3838 3839 3841 3843 3844 3845 3846 3847 3850 3851 3853 3856\n",
            " 3857 3859 3860 3861 3863 3864 3865 3866 3868 3870 4815 4816 4817 4819\n",
            " 4820 4821 4822 4823 4826 4827 4828 4829 4830 4831 4832 4833 4834 4838\n",
            " 4839 4840 4841 4842 4844 4845 4846 4847 4848 4849 4850 4851 4853 4854\n",
            " 4855 4856 4857 4858 4861 4862 4863 4866 4867 4868 4869 4870 4871 4872\n",
            " 4873 4874 4875 4876 4877 4878 4879 4882 4883 4885 4886 4888 4891 4892\n",
            " 4896 4897 4898 4899 4900 4901 4902 4904 4905 4907 4910 4916 4917 4920\n",
            " 4921 4925 4926 4928 4929 4930 4931 4932 4933 4934 4935 4937 4938 4939\n",
            " 4941 4942 4944 4945 4946 4950 4951 4952 4953 4954 4955 4956 4957 4958\n",
            " 4959 4960 4961 4962 4965 4966 4967 4970 4972 4975 4976 4977 4978 4982\n",
            " 4985 4988 4989 4990 4992 4994 4997 4998 5000 5001 5002 5004 5006 5007\n",
            " 5008 5009 5010 5013 5014 5015 5016 5017 5018 5019 5020 5021 5022 5025\n",
            " 5026 5027 5030 5031 5032 5033 5034 5035 5036 5038 5041 5042 5044 5045\n",
            " 5047 5048 5049 5050 5051 5052 5053 5054 5055 5057 5058 5061 5062 5063\n",
            " 5064 5065 5066 5067 5072 5073 5074 5078 5081 5082 5083 5084 5085 5089\n",
            " 5090 5091 5092 5094 5095 5099 5100 5101 5102 5103 5105 5106 5110 5111\n",
            " 5112 5113 5114 5115 5117 5121 5122 5123 5125 5127 5132 5133 5134 5135\n",
            " 5136 5137 5139 5140 5141 5142 5143 5144 5146 5147 5148 5150 5152 5153\n",
            " 5154 5155 5156 5157 5158 5161 5162 5163 5164 5165 5166 5167 5170 5171\n",
            " 5172 5173 5174 5176 5177 5178 5180 5182 5185 5186 5187 5188 5189 5190\n",
            " 5191 5193 5196 5197 5200 5201 5202 5205 5206 5207 5210 5211 5215 5217\n",
            " 5218 5219 5220 5221 5222 5223 5224 5225 5226 5227 5229 5231 5232 5233\n",
            " 5236 5237 5238 5239 5240 5241 5242 5243 5244 5245 5246 5250 5251 5252\n",
            " 5253 5254 5255 5256 5257 5259 5260 5261 5265 5266 5268 5269 5270 5271\n",
            " 5272 5273 5274 5275 5276 5277 5281 5282 5283 5284 5285 5286 5287 5288\n",
            " 5289 5291 5292 5294 5295 5296 5298 5303 5304 5305 5306 5308 5309 5310\n",
            " 5312 5315 5316 5317 5320 5321 5323 5325 5326 5327 5328 5329 5330 5331\n",
            " 5332 5333 5334 5335 5336 5338 5339 5342 5343 5344 5345 5348 5349 5350\n",
            " 5352 5353 5354 5355 5356 5357 5358 5359 5360 5361 5362 5363 5364 5366\n",
            " 5367 5368 5369 5370 5371 5372 5373 5376 5377 5378 5379 5383 5385 5387\n",
            " 5388 5393 5395 5396 5397 5399 5400 5402 5404 5405 5406 5407 5408 5409\n",
            " 5410 5411 5412 5413 5414 5418 5419 5420 5421 5423 5424 5425 5427 5428\n",
            " 5429 5430 5431 5433 5434 5435 5436 5437 5438 5439 5440 5441 5442 5443\n",
            " 5444 5445 5446 5447 5448 5450 5453 5454 5456 5457 5460 5461 5462 5463\n",
            " 5464 5465 5466 5467 5470 5471 5472 5473 5475 5476 5477 5478 5479 5480\n",
            " 5483 5485 5487 5489 5491 5494 5495 5496 5498 5500 5501 5502 5506 5508\n",
            " 5509 5510 5511 5512 5513 5516 5517 5519 5522 5523 5525 5526 5527 5528\n",
            " 5529 5531 5533 5534 5536 5537 5538 5539 5540 5541 5542 5543 5544 5545\n",
            " 5546 5547 5549 5550 5551 5552 5553 5556 5557 5561 5563 5564 5565 5566\n",
            " 5570 5571 5573 5574 5575 5576 5578 5579 5580 5582 5583 5584 5585 5586\n",
            " 5588 5590 5591 5593 5594 5595 5596 5598 5599 5600 5601 5602 5603 5604\n",
            " 5606 5607 5608 5609 5610 5614 5615 5616 5617 5618 5621 5622 5623 5625\n",
            " 5626 5627 5628 5629 5630 5634 5635 5636 5637 5641 5642 5643 5644 5645\n",
            " 5647 5648 5650 5654]\n",
            "No, List1 doesn't have any elements of the List2.\n",
            "\n",
            "IDX_TRAIN: [   0    1    2 ... 8438 8439 8440] IDX_VALIDATION: [3877 3879 3881 3882 3883 3885 3886 3887 3888 3895 3897 3898 3899 3902\n",
            " 3903 3906 3907 3909 3911 3912 3916 3918 3926 3927 3928 3929 3936 3937\n",
            " 3943 3946 3947 3948 3951 3955 3957 3958 3961 3967 3969 3970 3971 3973\n",
            " 3975 3977 3980 3981 3982 3983 3984 3985 3986 3987 3989 3994 3996 3997\n",
            " 3999 4000 4004 4007 4008 4009 4015 4018 4020 4022 4023 4026 4027 4029\n",
            " 4031 4032 4033 4034 4037 4047 4048 4049 4056 4061 4062 4063 4066 4069\n",
            " 4070 4072 4074 4075 4079 4080 4085 4087 4092 4093 4095 4096 4098 4099\n",
            " 4100 4101 4111 4112 4115 4116 4118 4119 4120 4125 4126 4130 4133 4138\n",
            " 4141 4145 4162 4163 4168 4169 4176 4177 4179 4183 4184 4185 4186 4188\n",
            " 4189 4194 4195 4196 4199 4202 4205 4207 4214 4218 4219 4220 4221 4223\n",
            " 4224 4225 4228 4237 4238 4239 4240 4242 4243 4244 4245 4247 4250 4251\n",
            " 4252 4253 4254 4255 4256 4262 4265 4266 4277 4278 4285 4286 4288 4298\n",
            " 4301 4302 4303 4304 4306 4307 4308 4309 4310 4311 4312 4313 4314 4316\n",
            " 4317 4324 4326 4332 4333 4340 4341 4342 4343 4344 4345 4346 4347 4348\n",
            " 4351 4352 4353 4355 4356 4357 4358 4359 4362 4363 4364 4366 4374 4375\n",
            " 4376 4377 4378 4379 4380 4381 4394 4395 4401 4402 4404 4405 4410 4415\n",
            " 4416 4417 4419 4421 4424 4427 4430 4433 4440 4441 4444 4445 4446 4450\n",
            " 4452 4453 4455 4457 4464 4465 4466 4470 4475 4477 4478 4479 4483 4485\n",
            " 4496 4500 4502 4503 4521 4537 4556 4562 4563 4564 5655 5657 5658 5659\n",
            " 5660 5661 5662 5663 5664 5669 5671 5672 5674 5677 5678 5679 5680 5682\n",
            " 5686 5688 5689 5691 5692 5694 5696 5697 5700 5702 5704 5705 5707 5708\n",
            " 5710 5711 5712 5714 5715 5719 5722 5723 5724 5725 5726 5727 5728 5730\n",
            " 5731 5734 5735 5741 5742 5744 5745 5746 5747 5748 5750 5751 5753 5754\n",
            " 5756 5758 5760 5761 5764 5767 5769 5770 5771 5773 5774 5776 5778 5779\n",
            " 5780 5782 5783 5784 5785 5786 5787 5788 5789 5791 5792 5795 5796 5797\n",
            " 5798 5799 5801 5803 5805 5806 5809 5815 5816 5817 5818 5819 5820 5827\n",
            " 5830 5832 5835 5836 5838 5839 5840 5841 5842 5843 5845 5846 5848 5849\n",
            " 5850 5853 5854 5855 5856 5857 5859 5860 5864 5865 5867 5869 5870 5871\n",
            " 5872 5875 5876 5877 5879 5881 5882 5883 5884 5886 5889 5891 5893 5894\n",
            " 5897 5898 5900 5902 5903 5904 5905 5906 5908 5909 5911 5914 5915 5917\n",
            " 5918 5919 5920 5921 5922 5925 5926 5927 5930 5931 5932 5935 5939 5940\n",
            " 5941 5942 5945 5946 5947 5948 5949 5950 5955 5957 5958 5960 5962 5963\n",
            " 5966 5967 5969 5971 5974 5975 5976 5979 5980 5981 5984 5986 5987 5988\n",
            " 5990 5994 5995 5996 5997 5998 6000 6003 6005 6006 6007 6008 6009 6010\n",
            " 6011 6012 6014 6016 6017 6018 6019 6021 6022 6023 6024 6025 6026 6028\n",
            " 6029 6030 6031 6032 6033 6034 6038 6043 6044 6045 6046 6048 6049 6050\n",
            " 6051 6052 6053 6055 6057 6058 6059 6060 6061 6062 6063 6064 6065 6066\n",
            " 6067 6068 6073 6074 6078 6079 6080 6082 6084 6085 6087 6088 6091 6092\n",
            " 6093 6095 6096 6097 6098 6101 6104 6105 6106 6107 6108 6109 6111 6112\n",
            " 6116 6123 6125 6126 6127 6129 6130 6133 6134 6139 6140 6141 6144 6145\n",
            " 6146 6147 6148 6150 6153 6154 6155 6157 6158 6159 6161 6162 6163 6168\n",
            " 6169 6170 6171 6172 6173 6175 6176 6178 6180 6181 6182 6183 6184 6185\n",
            " 6186 6187 6188 6189 6193 6195 6196 6198 6199 6200 6201 6202 6203 6204\n",
            " 6206 6207 6209 6210 6211 6212 6213 6216 6217 6218 6219 6221 6222 6223\n",
            " 6224 6226 6227 6228 6229 6230 6231 6233 6237 6238 6240 6242 6244 6245\n",
            " 6247 6250 6251 6252 6253 6254 6255 6259 6261 6262 6263 6265 6268 6269\n",
            " 6270 6271 6274 6276 6279 6280 6281 6283 6285 6286 6287 6288 6289 6290\n",
            " 6291 6293 6294 6296 6298 6304 6306 6310 6311 6312 6313 6315 6317 6318\n",
            " 6319 6325 6327 6331 6336 6341 6343 6344 6346 6347 6349 6350 6351 6352\n",
            " 6356 6358 6359 6360 6361 6362 6365 6366 6367 6368 6370 6371 6372 6374\n",
            " 6378 6379 6380 6381 6383 6384 6385 6387 6390 6392 6393 6394 6395 6399\n",
            " 6400 6403 6404 6405 6407 6409 6410 6411 6412 6414 6419 6420 6421 6425\n",
            " 6426 6427 6428 6430 6435 6436 6437 6438 6440 6441 6442 6443 6446 6447\n",
            " 6449 6453 6458 6459 6460 6461 6463 6464 6466 6467 6469 6470 6471 6474\n",
            " 6478 6479 6480 6482 6483 6485 6487 6488 6489 6494 6495 6496 6497 6498\n",
            " 6499 6501 6502 6503 6506 6507 6508 6509 6513 6515 6516 6518 6520 6521\n",
            " 6522 6526 6531 6532 6534 6535 6540 6541 6542 6545 6546 6548 6550 6553\n",
            " 6554 6555 6556 6557 6560 6561 6562 6564 6567 6568 6569 6571 6573 6574\n",
            " 6575 6576 6581 6582 6585 6586 6588 6589 6591 6594 6595 6596 6597 6600\n",
            " 6601 6607 6608 6609 6610 6611 6616 6618 6619 6623 6625 6628 6630 6631\n",
            " 6633 6634 6635 6636]\n",
            "No, List1 doesn't have any elements of the List2.\n",
            "\n",
            "IDX_TRAIN: [   0    1    2 ... 8438 8439 8440] IDX_VALIDATION: [4566 4574 4575 4576 4577 4579 4581 4582 4590 4593 4598 4608 4609 4610\n",
            " 4620 4627 4628 4630 4634 4641 4646 4647 4655 4656 4658 4663 4664 4666\n",
            " 4671 4690 4693 4700 4705 4707 4708 4711 4716 4717 4718 4727 4728 4731\n",
            " 4735 4737 4747 4748 4749 4753 4754 4755 4756 4761 4762 4763 4766 4775\n",
            " 4780 4784 4785 4790 4791 4792 4798 4800 4801 4803 4804 4808 4812 4814\n",
            " 4818 4824 4825 4835 4836 4837 4843 4852 4859 4860 4864 4865 4880 4881\n",
            " 4884 4887 4889 4890 4893 4894 4895 4903 4906 4908 4909 4911 4912 4913\n",
            " 4914 4915 4918 4919 4922 4923 4924 4927 4936 4940 4943 4947 4948 4949\n",
            " 4963 4964 4968 4969 4971 4973 4974 4979 4980 4981 4983 4984 4986 4987\n",
            " 4991 4993 4995 4996 4999 5003 5005 5011 5012 5023 5024 5028 5029 5037\n",
            " 5039 5040 5043 5046 5056 5059 5060 5068 5069 5070 5071 5075 5076 5077\n",
            " 5079 5080 5086 5087 5088 5093 5096 5097 5098 5104 5107 5108 5109 5116\n",
            " 5118 5119 5120 5124 5126 5128 5129 5130 5131 5138 5145 5149 5151 5159\n",
            " 5160 5168 5169 5175 5179 5181 5183 5184 5192 5194 5195 5198 5199 5203\n",
            " 5204 5208 5209 5212 5213 5214 5216 5228 5230 5234 5235 5247 5248 5249\n",
            " 5258 5262 5263 5264 5267 5278 5279 5280 5290 5293 5297 5299 5300 5301\n",
            " 5302 5307 5311 5313 5314 5318 5319 5322 5324 5337 5340 5341 5346 5347\n",
            " 5351 5365 5374 5375 5380 5381 5382 5384 5386 5389 5390 5391 5392 5394\n",
            " 5398 5401 5403 5415 5416 5417 5422 5426 5432 5449 6643 6645 6646 6647\n",
            " 6649 6654 6655 6656 6657 6658 6659 6660 6663 6664 6666 6667 6668 6671\n",
            " 6672 6673 6675 6676 6679 6681 6683 6684 6687 6688 6689 6690 6691 6694\n",
            " 6696 6697 6698 6701 6702 6703 6704 6707 6708 6710 6711 6712 6713 6715\n",
            " 6716 6718 6721 6722 6725 6728 6730 6731 6733 6735 6739 6742 6743 6745\n",
            " 6746 6747 6748 6749 6750 6751 6752 6753 6754 6755 6756 6757 6758 6759\n",
            " 6760 6761 6762 6763 6764 6765 6766 6767 6768 6769 6770 6771 6772 6773\n",
            " 6774 6775 6776 6777 6778 6779 6780 6781 6782 6783 6784 6785 6786 6787\n",
            " 6788 6789 6790 6791 6792 6793 6794 6795 6796 6797 6798 6799 6800 6801\n",
            " 6802 6803 6804 6805 6806 6807 6808 6809 6810 6811 6812 6813 6814 6815\n",
            " 6816 6817 6818 6819 6820 6821 6822 6823 6824 6825 6826 6827 6828 6829\n",
            " 6830 6831 6832 6833 6834 6835 6836 6837 6838 6839 6840 6841 6842 6843\n",
            " 6844 6845 6846 6847 6848 6849 6850 6851 6852 6853 6854 6855 6856 6857\n",
            " 6858 6859 6860 6861 6862 6863 6864 6865 6866 6867 6868 6869 6870 6871\n",
            " 6872 6873 6874 6875 6876 6877 6878 6879 6880 6881 6882 6883 6884 6885\n",
            " 6886 6887 6888 6889 6890 6891 6892 6893 6894 6895 6896 6897 6898 6899\n",
            " 6900 6901 6902 6903 6904 6905 6906 6907 6908 6909 6910 6911 6912 6913\n",
            " 6914 6915 6916 6917 6918 6919 6920 6921 6922 6923 6924 6925 6926 6927\n",
            " 6928 6929 6930 6931 6932 6933 6934 6935 6936 6937 6938 6939 6940 6941\n",
            " 6942 6943 6944 6945 6946 6947 6948 6949 6950 6951 6952 6953 6954 6955\n",
            " 6956 6957 6958 6959 6960 6961 6962 6963 6964 6965 6966 6967 6968 6969\n",
            " 6970 6971 6972 6973 6974 6975 6976 6977 6978 6979 6980 6981 6982 6983\n",
            " 6984 6985 6986 6987 6988 6989 6990 6991 6992 6993 6994 6995 6996 6997\n",
            " 6998 6999 7000 7001 7002 7003 7004 7005 7006 7007 7008 7009 7010 7011\n",
            " 7012 7013 7014 7015 7016 7017 7018 7019 7020 7021 7022 7023 7024 7025\n",
            " 7026 7027 7028 7029 7030 7031 7032 7033 7034 7035 7036 7037 7038 7039\n",
            " 7040 7041 7042 7043 7044 7045 7046 7047 7048 7049 7050 7051 7052 7053\n",
            " 7055 7056 7057 7058 7059 7060 7061 7062 7063 7064 7065 7066 7067 7068\n",
            " 7069 7070 7071 7072 7073 7075 7076 7077 7078 7079 7080 7081 7082 7083\n",
            " 7084 7085 7086 7087 7088 7089 7090 7091 7092 7093 7094 7095 7096 7097\n",
            " 7098 7099 7100 7101 7102 7103 7104 7105 7106 7108 7109 7110 7111 7112\n",
            " 7113 7114 7115 7116 7117 7118 7119 7120 7121 7122 7123 7124 7125 7126\n",
            " 7127 7128 7129 7130 7131 7132 7133 7134 7135 7136 7137 7138 7139 7140\n",
            " 7141 7142 7143 7144 7145 7146 7147 7148 7149 7150 7151 7152 7153 7154\n",
            " 7155 7156 7157 7158 7159 7160 7161 7162 7163 7164 7165 7166 7167 7168\n",
            " 7169 7170 7171 7172 7173 7174 7175 7176 7177 7178 7179 7180 7181 7182\n",
            " 7183 7184 7185 7186 7187 7188 7189 7190 7191 7192 7193 7194 7195 7196\n",
            " 7197 7198 7199 7200 7201 7202 7203 7204 7205 7206 7207 7208 7209 7210\n",
            " 7211 7212 7213 7214 7215 7216 7217 7218 7219 7220 7221 7222 7223 7224\n",
            " 7225 7226 7227 7228 7229 7230 7231 7232 7233 7234 7235 7236 7237 7238\n",
            " 7239 7240 7241 7242 7243 7244 7245 7246 7247 7248 7249 7250 7251 7252\n",
            " 7253 7254 7255 7256 7257 7258 7259 7260 7261 7262 7263 7264 7265 7266\n",
            " 7267 7268 7269 7270]\n",
            "No, List1 doesn't have any elements of the List2.\n",
            "\n",
            "IDX_TRAIN: [   0    1    2 ... 8438 8439 8440] IDX_VALIDATION: [5451 5452 5455 5458 5459 5468 5469 5474 5481 5482 5484 5486 5488 5490\n",
            " 5492 5493 5497 5499 5503 5504 5505 5507 5514 5515 5518 5520 5521 5524\n",
            " 5530 5532 5535 5548 5554 5555 5558 5559 5560 5562 5567 5568 5569 5572\n",
            " 5577 5581 5587 5589 5592 5597 5605 5611 5612 5613 5619 5620 5624 5631\n",
            " 5632 5633 5638 5639 5640 5646 5649 5651 5652 5653 5656 5665 5666 5667\n",
            " 5668 5670 5673 5675 5676 5681 5683 5684 5685 5687 5690 5693 5695 5698\n",
            " 5699 5701 5703 5706 5709 5713 5716 5717 5718 5720 5721 5729 5732 5733\n",
            " 5736 5737 5738 5739 5740 5743 5749 5752 5755 5757 5759 5762 5763 5765\n",
            " 5766 5768 5772 5775 5777 5781 5790 5793 5794 5800 5802 5804 5807 5808\n",
            " 5810 5811 5812 5813 5814 5821 5822 5823 5824 5825 5826 5828 5829 5831\n",
            " 5833 5834 5837 5844 5847 5851 5852 5858 5861 5862 5863 5866 5868 5873\n",
            " 5874 5878 5880 5885 5887 5888 5890 5892 5895 5896 5899 5901 5907 5910\n",
            " 5912 5913 5916 5923 5924 5928 5929 5933 5934 5936 5937 5938 5943 5944\n",
            " 5951 5952 5953 5954 5956 5959 5961 5964 5965 5968 5970 5972 5973 5977\n",
            " 5978 5982 5983 5985 5989 5991 5992 5993 5999 6001 6002 6004 6013 6015\n",
            " 6020 6027 6035 6036 6037 6039 6040 6041 6042 6047 6054 6056 6069 6070\n",
            " 6071 6072 6075 6076 6077 6081 6083 6086 6089 6090 6094 6099 6100 6102\n",
            " 6103 6110 6113 6114 6115 6117 6118 6119 6120 6121 6122 6124 6128 6131\n",
            " 6132 6135 6136 6137 6138 6142 6143 6149 6151 6152 7271 7272 7273 7274\n",
            " 7275 7276 7277 7278 7279 7280 7281 7282 7283 7284 7285 7286 7287 7288\n",
            " 7289 7290 7291 7292 7293 7294 7295 7296 7297 7298 7299 7300 7301 7302\n",
            " 7303 7304 7305 7306 7307 7308 7309 7310 7311 7312 7313 7314 7316 7317\n",
            " 7318 7319 7320 7321 7322 7323 7324 7325 7326 7327 7328 7329 7330 7331\n",
            " 7332 7333 7334 7335 7336 7337 7338 7339 7340 7341 7342 7343 7344 7345\n",
            " 7346 7347 7348 7349 7350 7351 7352 7353 7354 7355 7356 7357 7358 7359\n",
            " 7360 7361 7362 7363 7364 7365 7366 7367 7368 7369 7370 7371 7372 7373\n",
            " 7374 7375 7376 7377 7378 7379 7380 7381 7382 7383 7384 7385 7386 7387\n",
            " 7388 7389 7390 7391 7392 7393 7394 7395 7396 7397 7398 7399 7400 7401\n",
            " 7402 7403 7404 7405 7406 7407 7408 7409 7410 7411 7412 7413 7414 7415\n",
            " 7416 7417 7418 7419 7420 7421 7422 7423 7424 7425 7426 7427 7428 7429\n",
            " 7430 7431 7432 7433 7434 7435 7436 7437 7438 7439 7440 7441 7442 7443\n",
            " 7444 7445 7447 7448 7449 7450 7451 7452 7453 7454 7455 7456 7457 7458\n",
            " 7459 7460 7461 7462 7463 7464 7465 7466 7467 7468 7469 7470 7471 7472\n",
            " 7473 7474 7475 7476 7477 7478 7479 7480 7481 7482 7483 7484 7485 7487\n",
            " 7488 7489 7490 7491 7492 7493 7494 7495 7496 7497 7498 7499 7500 7501\n",
            " 7502 7503 7504 7505 7506 7507 7508 7509 7510 7511 7512 7513 7514 7515\n",
            " 7516 7517 7518 7519 7520 7521 7522 7523 7524 7525 7526 7527 7528 7529\n",
            " 7530 7531 7532 7533 7534 7535 7536 7537 7538 7539 7540 7541 7542 7543\n",
            " 7544 7545 7546 7547 7548 7549 7550 7551 7552 7553 7554 7555 7556 7557\n",
            " 7558 7559 7560 7561 7562 7563 7564 7565 7566 7567 7568 7569 7570 7571\n",
            " 7572 7573 7574 7575 7576 7577 7578 7579 7580 7581 7582 7583 7584 7585\n",
            " 7586 7587 7588 7589 7590 7591 7592 7593 7594 7595 7596 7597 7598 7599\n",
            " 7600 7601 7602 7603 7604 7605 7606 7607 7608 7609 7610 7611 7612 7613\n",
            " 7614 7615 7616 7617 7618 7619 7620 7621 7622 7623 7624 7625 7626 7627\n",
            " 7628 7629 7630 7631 7632 7633 7634 7635 7636 7637 7638 7639 7640 7641\n",
            " 7642 7643 7644 7645 7646 7647 7648 7649 7650 7651 7652 7653 7654 7655\n",
            " 7656 7657 7658 7659 7660 7661 7662 7663 7664 7665 7666 7667 7668 7669\n",
            " 7670 7671 7672 7673 7674 7675 7676 7677 7678 7679 7680 7681 7682 7683\n",
            " 7684 7686 7687 7688 7689 7690 7691 7692 7693 7694 7695 7696 7697 7698\n",
            " 7699 7700 7701 7702 7703 7704 7705 7706 7707 7708 7709 7710 7711 7712\n",
            " 7713 7714 7715 7716 7717 7718 7719 7720 7721 7722 7723 7724 7725 7726\n",
            " 7727 7728 7729 7730 7731 7732 7733 7734 7735 7737 7738 7739 7740 7741\n",
            " 7742 7743 7744 7745 7746 7747 7748 7749 7750 7751 7752 7753 7755 7756\n",
            " 7757 7758 7759 7760 7761 7762 7763 7764 7765 7766 7767 7768 7769 7770\n",
            " 7771 7772 7773 7774 7775 7776 7777 7778 7779 7780 7781 7782 7783 7784\n",
            " 7785 7786 7787 7788 7789 7790 7791 7792 7793 7794 7795 7796 7797 7798\n",
            " 7799 7800 7801 7802 7803 7804 7805 7806 7807 7808 7809 7810 7811 7812\n",
            " 7813 7814 7815 7816 7817 7818 7819 7820 7821 7822 7823 7824 7825 7826\n",
            " 7827 7828 7829 7830 7831 7832 7833 7834 7835 7836 7837 7838 7839 7840\n",
            " 7841 7842 7843 7844 7845 7846 7847 7848 7849 7850 7851 7852 7853 7854\n",
            " 7855 7856 7857 7858]\n",
            "No, List1 doesn't have any elements of the List2.\n",
            "\n",
            "IDX_TRAIN: [   0    1    2 ... 7856 7857 7858] IDX_VALIDATION: [6156 6160 6164 6165 6166 6167 6174 6177 6179 6190 6191 6192 6194 6197\n",
            " 6205 6208 6214 6215 6220 6225 6232 6234 6235 6236 6239 6241 6243 6246\n",
            " 6248 6249 6256 6257 6258 6260 6264 6266 6267 6272 6273 6275 6277 6278\n",
            " 6282 6284 6292 6295 6297 6299 6300 6301 6302 6303 6305 6307 6308 6309\n",
            " 6314 6316 6320 6321 6322 6323 6324 6326 6328 6329 6330 6332 6333 6334\n",
            " 6335 6337 6338 6339 6340 6342 6345 6348 6353 6354 6355 6357 6363 6364\n",
            " 6369 6373 6375 6376 6377 6382 6386 6388 6389 6391 6396 6397 6398 6401\n",
            " 6402 6406 6408 6413 6415 6416 6417 6418 6422 6423 6424 6429 6431 6432\n",
            " 6433 6434 6439 6444 6445 6448 6450 6451 6452 6454 6455 6456 6457 6462\n",
            " 6465 6468 6472 6473 6475 6476 6477 6481 6484 6486 6490 6491 6492 6493\n",
            " 6500 6504 6505 6510 6511 6512 6514 6517 6519 6523 6524 6525 6527 6528\n",
            " 6529 6530 6533 6536 6537 6538 6539 6543 6544 6547 6549 6551 6552 6558\n",
            " 6559 6563 6565 6566 6570 6572 6577 6578 6579 6580 6583 6584 6587 6590\n",
            " 6592 6593 6598 6599 6602 6603 6604 6605 6606 6612 6613 6614 6615 6617\n",
            " 6620 6621 6622 6624 6626 6627 6629 6632 6637 6638 6639 6640 6641 6642\n",
            " 6644 6648 6650 6651 6652 6653 6661 6662 6665 6669 6670 6674 6677 6678\n",
            " 6680 6682 6685 6686 6692 6693 6695 6699 6700 6705 6706 6709 6714 6717\n",
            " 6719 6720 6723 6724 6726 6727 6729 6732 6734 6736 6737 6738 6740 6741\n",
            " 6744 7054 7074 7107 7315 7446 7486 7685 7736 7754 7859 7860 7861 7862\n",
            " 7863 7864 7865 7866 7867 7868 7869 7870 7871 7872 7873 7874 7875 7876\n",
            " 7877 7878 7879 7880 7881 7882 7883 7884 7885 7886 7887 7888 7889 7890\n",
            " 7891 7892 7893 7894 7895 7896 7897 7898 7899 7900 7901 7902 7903 7904\n",
            " 7905 7906 7907 7908 7909 7910 7911 7912 7913 7914 7915 7916 7917 7918\n",
            " 7919 7920 7921 7922 7923 7924 7925 7926 7927 7928 7929 7930 7931 7932\n",
            " 7933 7934 7935 7936 7937 7938 7939 7940 7941 7942 7943 7944 7945 7946\n",
            " 7947 7948 7949 7950 7951 7952 7953 7954 7955 7956 7957 7958 7959 7960\n",
            " 7961 7962 7963 7964 7965 7966 7967 7968 7969 7970 7971 7972 7973 7974\n",
            " 7975 7976 7977 7978 7979 7980 7981 7982 7983 7984 7985 7986 7987 7988\n",
            " 7989 7990 7991 7992 7993 7994 7995 7996 7997 7998 7999 8000 8001 8002\n",
            " 8003 8004 8005 8006 8007 8008 8009 8010 8011 8012 8013 8014 8015 8016\n",
            " 8017 8018 8019 8020 8021 8022 8023 8024 8025 8026 8027 8028 8029 8030\n",
            " 8031 8032 8033 8034 8035 8036 8037 8038 8039 8040 8041 8042 8043 8044\n",
            " 8045 8046 8047 8048 8049 8050 8051 8052 8053 8054 8055 8056 8057 8058\n",
            " 8059 8060 8061 8062 8063 8064 8065 8066 8067 8068 8069 8070 8071 8072\n",
            " 8073 8074 8075 8076 8077 8078 8079 8080 8081 8082 8083 8084 8085 8086\n",
            " 8087 8088 8089 8090 8091 8092 8093 8094 8095 8096 8097 8098 8099 8100\n",
            " 8101 8102 8103 8104 8105 8106 8107 8108 8109 8110 8111 8112 8113 8114\n",
            " 8115 8116 8117 8118 8119 8120 8121 8122 8123 8124 8125 8126 8127 8128\n",
            " 8129 8130 8131 8132 8133 8134 8135 8136 8137 8138 8139 8140 8141 8142\n",
            " 8143 8144 8145 8146 8147 8148 8149 8150 8151 8152 8153 8154 8155 8156\n",
            " 8157 8158 8159 8160 8161 8162 8163 8164 8165 8166 8167 8168 8169 8170\n",
            " 8171 8172 8173 8174 8175 8176 8177 8178 8179 8180 8181 8182 8183 8184\n",
            " 8185 8186 8187 8188 8189 8190 8191 8192 8193 8194 8195 8196 8197 8198\n",
            " 8199 8200 8201 8202 8203 8204 8205 8206 8207 8208 8209 8210 8211 8212\n",
            " 8213 8214 8215 8216 8217 8218 8219 8220 8221 8222 8223 8224 8225 8226\n",
            " 8227 8228 8229 8230 8231 8232 8233 8234 8235 8236 8237 8238 8239 8240\n",
            " 8241 8242 8243 8244 8245 8246 8247 8248 8249 8250 8251 8252 8253 8254\n",
            " 8255 8256 8257 8258 8259 8260 8261 8262 8263 8264 8265 8266 8267 8268\n",
            " 8269 8270 8271 8272 8273 8274 8275 8276 8277 8278 8279 8280 8281 8282\n",
            " 8283 8284 8285 8286 8287 8288 8289 8290 8291 8292 8293 8294 8295 8296\n",
            " 8297 8298 8299 8300 8301 8302 8303 8304 8305 8306 8307 8308 8309 8310\n",
            " 8311 8312 8313 8314 8315 8316 8317 8318 8319 8320 8321 8322 8323 8324\n",
            " 8325 8326 8327 8328 8329 8330 8331 8332 8333 8334 8335 8336 8337 8338\n",
            " 8339 8340 8341 8342 8343 8344 8345 8346 8347 8348 8349 8350 8351 8352\n",
            " 8353 8354 8355 8356 8357 8358 8359 8360 8361 8362 8363 8364 8365 8366\n",
            " 8367 8368 8369 8370 8371 8372 8373 8374 8375 8376 8377 8378 8379 8380\n",
            " 8381 8382 8383 8384 8385 8386 8387 8388 8389 8390 8391 8392 8393 8394\n",
            " 8395 8396 8397 8398 8399 8400 8401 8402 8403 8404 8405 8406 8407 8408\n",
            " 8409 8410 8411 8412 8413 8414 8415 8416 8417 8418 8419 8420 8421 8422\n",
            " 8423 8424 8425 8426 8427 8428 8429 8430 8431 8432 8433 8434 8435 8436\n",
            " 8437 8438 8439 8440]\n",
            "No, List1 doesn't have any elements of the List2.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "2U42fvnKTkuj"
      },
      "source": [
        "# Data Preprocessing Unsupervised with Feature Selection"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "KACA8THDTkuk",
        "colab": {}
      },
      "source": [
        "names = [\"KNN\",\"LogRegression\",\"DecisionTree\",\"DT4\",\"DT5\",\"RandomForest\",\"NaiveBayes\",\"AdaBoost\",\"NeuralNet\",\"RBF-SVM\"]\n",
        "\n",
        "classifiers = [\n",
        "    KNeighborsClassifier(),\n",
        "    LogisticRegression(),\n",
        "    DecisionTreeClassifier(max_depth=3),\n",
        "    DecisionTreeClassifier(max_depth=4),\n",
        "    DecisionTreeClassifier(max_depth=5),\n",
        "    RandomForestClassifier(max_depth=5),\n",
        "    GaussianNB(),\n",
        "    AdaBoostClassifier(),\n",
        "    MLPClassifier(),\n",
        "    SVC(kernel=\"linear\")\n",
        "]"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "azBCgy2Ojaz9",
        "colab_type": "text"
      },
      "source": [
        "# Kfold com 10"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "l64F6Dd5VlVj",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "outputId": "2aa88f6b-0951-46b1-9cfd-a75097b8fb28"
      },
      "source": [
        "start_time = time.clock()\n",
        "total_elapsed_time = round(time.clock() - start_time, 2)\n",
        "print(\"Runtime in {} seconds\".format(total_elapsed_time))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Runtime in 0.0 seconds\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "sTprA0F4huH9",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "80f8cce7-5751-496b-b00d-a74e44238cac"
      },
      "source": [
        "# Data Klustering\n",
        "KFOLD=10\n",
        "\n",
        "# Training through Unsupervised Stratified KFold\n",
        "performanceFolds = {}\n",
        "performanceFolds['Model'] = 'Classifier','F-Score','MCC','ROC','AUC-ROC','Report','Precision','Acc'\n",
        "bestPerformanceFolds = {}\n",
        "bestPerformanceFolds['Model'] = 'Classifier','F-Score','MCC','ROC','AUC-ROC','Report','Precision','Acc'\n",
        "maxPerformanceFold = {}\n",
        "\n",
        "\n",
        "bestFScore = 0.0 # 0.9914 baseline de treino\n",
        "bestClassifier = None\n",
        "bestMCC = 0.0\n",
        "bestROC = 0.0\n",
        "bestReport = None\n",
        "XValidationSetFold = {}\n",
        "yValidationSetFold = {}\n",
        "XTrainSetFold = {}\n",
        "yTrainSetFold = {}\n",
        "lastX_test = []\n",
        "lasty_test = []\n",
        "    \n",
        "skfold = SKFold(n_splits=KFOLD, random_state=None, shuffle=False)\n",
        "\n",
        "k = 0\n",
        "for train_index, valid_index in skfold.split(features, allClasses):\n",
        "    X_train, X_validation = features[train_index], features[valid_index]\n",
        "    y_train, y_validation = allClasses[train_index], allClasses[valid_index]\n",
        "\n",
        "    print(\"\\nFOLD %d\\t- Fscore, Mcc, Auc, Prec, Acc, Kappa, Runtime\"%(k))\n",
        "\n",
        "    c = 0\n",
        "    for name, clf in zip(names, classifiers):\n",
        "        starTime = time.clock()\n",
        "        clf.fit(X_train, y_train)\n",
        "        endTime = time.clock() - starTime\n",
        "        prediction = clf.predict(X_validation)\n",
        "        acc = accuracy_score(y_validation, prediction)\n",
        "        mcc = matthews_corrcoef(y_validation, prediction)\n",
        "        roc = roc_curve(y_validation, prediction)\n",
        "        rauc = roc_auc_score(y_validation, prediction)\n",
        "        report = classification_report(y_validation, prediction)\n",
        "        prec = precision_score(y_validation, prediction)\n",
        "        fscore = f1_score(y_validation, prediction)\n",
        "        kappa = cohen_kappa_score(y_validation, prediction)\n",
        "        matrix = confusion_matrix(y_validation, prediction)\n",
        "\n",
        "        if fscore >= bestFScore:\n",
        "            bestFScore = fscore\n",
        "            bestClassifier = clf\n",
        "            maxPerformanceFold[c] = X_train, y_train, X_validation, y_validation\n",
        "            bestMCC = mcc\n",
        "            bestROC = roc\n",
        "            bestReport = report\n",
        "\n",
        "            bestPerformanceFolds[name] = clf, fscore, mcc, roc, rauc, report, prec, acc, kappa, matrix\n",
        "\n",
        "        performanceFolds[name] = clf, fscore, mcc, roc, rauc, report, prec, acc, kappa, matrix\n",
        "        print(\"C[%d]\\t- %s teve desempenho de %.4f, %.4f, %.4f, %.4f, %.4f, %.4f, %.2f\"%(c,name,fscore,mcc,rauc,prec,acc,kappa,endTime))\n",
        "        c=c+1\n",
        "    k=k+1"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "\n",
            "FOLD 0\t- Fscore, Mcc, Auc, Prec, Acc, Kappa, Runtime\n",
            "C[0]\t- KNN teve desempenho de 0.3177, 0.0850, 0.5379, 0.3859, 0.6391, 0.0826, 0.07\n",
            "C[1]\t- LogRegression teve desempenho de 0.8986, 0.8516, 0.9363, 0.8581, 0.9337, 0.8495, 0.42\n",
            "C[2]\t- DecisionTree teve desempenho de 0.8991, 0.8534, 0.9417, 0.8411, 0.9325, 0.8488, 0.06\n",
            "C[3]\t- DT4 teve desempenho de 0.9038, 0.8594, 0.9399, 0.8646, 0.9373, 0.8574, 0.08\n",
            "C[4]\t- DT5 teve desempenho de 0.9140, 0.8750, 0.9504, 0.8644, 0.9432, 0.8718, 0.03\n",
            "C[5]\t- RandomForest teve desempenho de 0.8777, 0.8245, 0.9073, 0.8968, 0.9254, 0.8241, 0.45\n",
            "C[6]\t- NaiveBayes teve desempenho de 0.7026, 0.5535, 0.7977, 0.5907, 0.7716, 0.5278, 0.01\n",
            "C[7]\t- AdaBoost teve desempenho de 0.9084, 0.8666, 0.9458, 0.8605, 0.9396, 0.8636, 0.62\n",
            "C[8]\t- NeuralNet teve desempenho de 0.7702, 0.6777, 0.8270, 0.8197, 0.8651, 0.6752, 5.59\n",
            "C[9]\t- RBF-SVM teve desempenho de 0.9023, 0.8580, 0.9434, 0.8467, 0.9349, 0.8538, 50.40\n",
            "\n",
            "FOLD 1\t- Fscore, Mcc, Auc, Prec, Acc, Kappa, Runtime\n",
            "C[0]\t- KNN teve desempenho de 0.2993, 0.0903, 0.5380, 0.3987, 0.6505, 0.0854, 0.06\n",
            "C[1]\t- LogRegression teve desempenho de 0.8985, 0.8519, 0.9286, 0.8885, 0.9360, 0.8518, 0.41\n",
            "C[2]\t- DecisionTree teve desempenho de 0.8706, 0.8109, 0.9217, 0.8058, 0.9123, 0.8050, 0.06\n",
            "C[3]\t- DT4 teve desempenho de 0.9108, 0.8695, 0.9400, 0.8909, 0.9431, 0.8691, 0.08\n",
            "C[4]\t- DT5 teve desempenho de 0.9149, 0.8761, 0.9394, 0.9098, 0.9467, 0.8761, 0.04\n",
            "C[5]\t- RandomForest teve desempenho de 0.8358, 0.7777, 0.8675, 0.9220, 0.9064, 0.7711, 0.43\n",
            "C[6]\t- NaiveBayes teve desempenho de 0.7646, 0.6496, 0.8433, 0.6815, 0.8329, 0.6381, 0.01\n",
            "C[7]\t- AdaBoost teve desempenho de 0.9134, 0.8734, 0.9439, 0.8857, 0.9443, 0.8725, 0.65\n",
            "C[8]\t- NeuralNet teve desempenho de 0.7461, 0.6416, 0.8460, 0.5950, 0.7879, 0.5833, 3.52\n",
            "C[9]\t- RBF-SVM teve desempenho de 0.9138, 0.8739, 0.9450, 0.8830, 0.9443, 0.8727, 41.94\n",
            "\n",
            "FOLD 2\t- Fscore, Mcc, Auc, Prec, Acc, Kappa, Runtime\n",
            "C[0]\t- KNN teve desempenho de 0.2770, 0.0532, 0.5227, 0.3620, 0.6351, 0.0506, 0.06\n",
            "C[1]\t- LogRegression teve desempenho de 0.8857, 0.8323, 0.9260, 0.8472, 0.9254, 0.8304, 0.40\n",
            "C[2]\t- DecisionTree teve desempenho de 0.8345, 0.7561, 0.8886, 0.7918, 0.8910, 0.7536, 0.06\n",
            "C[3]\t- DT4 teve desempenho de 0.8917, 0.8414, 0.9317, 0.8488, 0.9289, 0.8390, 0.08\n",
            "C[4]\t- DT5 teve desempenho de 0.8791, 0.8252, 0.9104, 0.8876, 0.9254, 0.8251, 0.04\n",
            "C[5]\t- RandomForest teve desempenho de 0.7984, 0.7154, 0.8475, 0.8403, 0.8803, 0.7136, 0.45\n",
            "C[6]\t- NaiveBayes teve desempenho de 0.7046, 0.5553, 0.7974, 0.6027, 0.7784, 0.5353, 0.01\n",
            "C[7]\t- AdaBoost teve desempenho de 0.8681, 0.8064, 0.9110, 0.8375, 0.9147, 0.8052, 0.65\n",
            "C[8]\t- NeuralNet teve desempenho de 0.7558, 0.6406, 0.8441, 0.6395, 0.8140, 0.6135, 3.12\n",
            "C[9]\t- RBF-SVM teve desempenho de 0.8861, 0.8330, 0.9271, 0.8448, 0.9254, 0.8308, 57.24\n",
            "\n",
            "FOLD 3\t- Fscore, Mcc, Auc, Prec, Acc, Kappa, Runtime\n",
            "C[0]\t- KNN teve desempenho de 0.2700, 0.0302, 0.5132, 0.3391, 0.6220, 0.0291, 0.06\n",
            "C[1]\t- LogRegression teve desempenho de 0.8969, 0.8491, 0.9353, 0.8552, 0.9325, 0.8469, 0.41\n",
            "C[2]\t- DecisionTree teve desempenho de 0.8766, 0.8191, 0.9163, 0.8500, 0.9206, 0.8182, 0.07\n",
            "C[3]\t- DT4 teve desempenho de 0.9052, 0.8618, 0.9440, 0.8547, 0.9372, 0.8585, 0.08\n",
            "C[4]\t- DT5 teve desempenho de 0.8995, 0.8527, 0.9350, 0.8662, 0.9348, 0.8514, 0.03\n",
            "C[5]\t- RandomForest teve desempenho de 0.8104, 0.7325, 0.8558, 0.8529, 0.8874, 0.7306, 0.46\n",
            "C[6]\t- NaiveBayes teve desempenho de 0.7134, 0.5743, 0.8098, 0.5872, 0.7725, 0.5388, 0.01\n",
            "C[7]\t- AdaBoost teve desempenho de 0.9078, 0.8653, 0.9436, 0.8655, 0.9396, 0.8630, 0.66\n",
            "C[8]\t- NeuralNet teve desempenho de 0.5436, 0.4753, 0.6834, 0.8346, 0.7891, 0.4274, 6.99\n",
            "C[9]\t- RBF-SVM teve desempenho de 0.9091, 0.8679, 0.9478, 0.8557, 0.9396, 0.8641, 42.94\n",
            "\n",
            "FOLD 4\t- Fscore, Mcc, Auc, Prec, Acc, Kappa, Runtime\n",
            "C[0]\t- KNN teve desempenho de 0.3007, 0.0939, 0.5395, 0.4013, 0.6528, 0.0887, 0.06\n",
            "C[1]\t- LogRegression teve desempenho de 0.8945, 0.8458, 0.9334, 0.8542, 0.9313, 0.8437, 0.41\n",
            "C[2]\t- DecisionTree teve desempenho de 0.8687, 0.8122, 0.9288, 0.7771, 0.9076, 0.7989, 0.06\n",
            "C[3]\t- DT4 teve desempenho de 0.9007, 0.8561, 0.9435, 0.8411, 0.9336, 0.8513, 0.09\n",
            "C[4]\t- DT5 teve desempenho de 0.8956, 0.8485, 0.9399, 0.8350, 0.9301, 0.8435, 0.03\n",
            "C[5]\t- RandomForest teve desempenho de 0.8757, 0.8199, 0.9095, 0.8774, 0.9230, 0.8199, 0.50\n",
            "C[6]\t- NaiveBayes teve desempenho de 0.7335, 0.6043, 0.8246, 0.6223, 0.7986, 0.5798, 0.01\n",
            "C[7]\t- AdaBoost teve desempenho de 0.9127, 0.8737, 0.9516, 0.8562, 0.9419, 0.8695, 0.68\n",
            "C[8]\t- NeuralNet teve desempenho de 0.8390, 0.7648, 0.8862, 0.8235, 0.8981, 0.7645, 3.74\n",
            "C[9]\t- RBF-SVM teve desempenho de 0.9124, 0.8723, 0.9462, 0.8741, 0.9431, 0.8704, 40.23\n",
            "\n",
            "FOLD 5\t- Fscore, Mcc, Auc, Prec, Acc, Kappa, Runtime\n",
            "C[0]\t- KNN teve desempenho de 0.2831, 0.0546, 0.5236, 0.3609, 0.6339, 0.0524, 0.06\n",
            "C[1]\t- LogRegression teve desempenho de 0.8822, 0.8280, 0.9186, 0.8645, 0.9254, 0.8276, 0.43\n",
            "C[2]\t- DecisionTree teve desempenho de 0.8737, 0.8184, 0.9301, 0.7901, 0.9123, 0.8077, 0.06\n",
            "C[3]\t- DT4 teve desempenho de 0.8852, 0.8320, 0.9226, 0.8597, 0.9265, 0.8312, 0.08\n",
            "C[4]\t- DT5 teve desempenho de 0.8827, 0.8285, 0.9196, 0.8618, 0.9254, 0.8280, 0.03\n",
            "C[5]\t- RandomForest teve desempenho de 0.8627, 0.8040, 0.8958, 0.8871, 0.9171, 0.8034, 0.46\n",
            "C[6]\t- NaiveBayes teve desempenho de 0.7008, 0.5509, 0.7964, 0.5901, 0.7713, 0.5260, 0.01\n",
            "C[7]\t- AdaBoost teve desempenho de 0.8881, 0.8362, 0.9266, 0.8551, 0.9277, 0.8348, 0.64\n",
            "C[8]\t- NeuralNet teve desempenho de 0.6425, 0.5384, 0.7383, 0.7889, 0.8128, 0.5216, 2.79\n",
            "C[9]\t- RBF-SVM teve desempenho de 0.8821, 0.8288, 0.9153, 0.8788, 0.9265, 0.8288, 42.87\n",
            "\n",
            "FOLD 6\t- Fscore, Mcc, Auc, Prec, Acc, Kappa, Runtime\n",
            "C[0]\t- KNN teve desempenho de 0.2961, 0.0967, 0.5400, 0.4067, 0.6564, 0.0905, 0.06\n",
            "C[1]\t- LogRegression teve desempenho de 0.9007, 0.8561, 0.9435, 0.8411, 0.9336, 0.8513, 0.39\n",
            "C[2]\t- DecisionTree teve desempenho de 0.8581, 0.7985, 0.9240, 0.7558, 0.8981, 0.7809, 0.06\n",
            "C[3]\t- DT4 teve desempenho de 0.8962, 0.8482, 0.9342, 0.8571, 0.9325, 0.8463, 0.08\n",
            "C[4]\t- DT5 teve desempenho de 0.8958, 0.8476, 0.9332, 0.8596, 0.9325, 0.8460, 0.03\n",
            "C[5]\t- RandomForest teve desempenho de 0.8980, 0.8509, 0.9318, 0.8736, 0.9348, 0.8501, 0.45\n",
            "C[6]\t- NaiveBayes teve desempenho de 0.7609, 0.6504, 0.8499, 0.6414, 0.8175, 0.6215, 0.01\n",
            "C[7]\t- AdaBoost teve desempenho de 0.9000, 0.8546, 0.9414, 0.8456, 0.9336, 0.8507, 0.63\n",
            "C[8]\t- NeuralNet teve desempenho de 0.7244, 0.6545, 0.7880, 0.8983, 0.8566, 0.6323, 2.62\n",
            "C[9]\t- RBF-SVM teve desempenho de 0.9104, 0.8700, 0.9487, 0.8581, 0.9408, 0.8664, 51.70\n",
            "\n",
            "FOLD 7\t- Fscore, Mcc, Auc, Prec, Acc, Kappa, Runtime\n",
            "C[0]\t- KNN teve desempenho de 0.2890, 0.0653, 0.5281, 0.3713, 0.6386, 0.0625, 0.06\n",
            "C[1]\t- LogRegression teve desempenho de 0.9002, 0.8575, 0.9226, 0.9237, 0.9396, 0.8569, 0.42\n",
            "C[2]\t- DecisionTree teve desempenho de 0.9190, 0.8820, 0.9442, 0.9071, 0.9491, 0.8819, 0.06\n",
            "C[3]\t- DT4 teve desempenho de 0.9275, 0.8948, 0.9474, 0.9275, 0.9550, 0.8948, 0.08\n",
            "C[4]\t- DT5 teve desempenho de 0.9313, 0.9004, 0.9502, 0.9313, 0.9573, 0.9004, 0.03\n",
            "C[5]\t- RandomForest teve desempenho de 0.8778, 0.8353, 0.8968, 0.9593, 0.9301, 0.8294, 0.45\n",
            "C[6]\t- NaiveBayes teve desempenho de 0.7465, 0.6233, 0.8238, 0.6928, 0.8294, 0.6191, 0.01\n",
            "C[7]\t- AdaBoost teve desempenho de 0.9134, 0.8770, 0.9307, 0.9431, 0.9479, 0.8762, 0.63\n",
            "C[8]\t- NeuralNet teve desempenho de 0.6774, 0.5951, 0.7591, 0.8547, 0.8341, 0.5721, 3.86\n",
            "C[9]\t- RBF-SVM teve desempenho de 0.9123, 0.8744, 0.9320, 0.9323, 0.9467, 0.8740, 60.41\n",
            "\n",
            "FOLD 8\t- Fscore, Mcc, Auc, Prec, Acc, Kappa, Runtime\n",
            "C[0]\t- KNN teve desempenho de 0.2738, 0.0418, 0.5181, 0.3491, 0.6291, 0.0401, 0.06\n",
            "C[1]\t- LogRegression teve desempenho de 0.9178, 0.8809, 0.9400, 0.9195, 0.9491, 0.8809, 0.42\n",
            "C[2]\t- DecisionTree teve desempenho de 0.9151, 0.8761, 0.9458, 0.8857, 0.9455, 0.8751, 0.06\n",
            "C[3]\t- DT4 teve desempenho de 0.9303, 0.8985, 0.9525, 0.9182, 0.9562, 0.8983, 0.08\n",
            "C[4]\t- DT5 teve desempenho de 0.9336, 0.9035, 0.9531, 0.9283, 0.9585, 0.9034, 0.03\n",
            "C[5]\t- RandomForest teve desempenho de 0.9044, 0.8657, 0.9220, 0.9458, 0.9431, 0.8640, 0.44\n",
            "C[6]\t- NaiveBayes teve desempenho de 0.7834, 0.6789, 0.8548, 0.7175, 0.8519, 0.6723, 0.01\n",
            "C[7]\t- AdaBoost teve desempenho de 0.9287, 0.8971, 0.9462, 0.9377, 0.9562, 0.8971, 0.62\n",
            "C[8]\t- NeuralNet teve desempenho de 0.8606, 0.7974, 0.9178, 0.7837, 0.9040, 0.7885, 4.30\n",
            "C[9]\t- RBF-SVM teve desempenho de 0.9254, 0.8920, 0.9455, 0.9272, 0.9538, 0.8920, 49.10\n",
            "\n",
            "FOLD 9\t- Fscore, Mcc, Auc, Prec, Acc, Kappa, Runtime\n",
            "C[0]\t- KNN teve desempenho de 0.2990, 0.1061, 0.5434, 0.4178, 0.6611, 0.0988, 0.06\n",
            "C[1]\t- LogRegression teve desempenho de 0.9328, 0.9029, 0.9500, 0.9382, 0.9585, 0.9028, 0.42\n",
            "C[2]\t- DecisionTree teve desempenho de 0.9199, 0.8832, 0.9473, 0.8982, 0.9491, 0.8826, 0.06\n",
            "C[3]\t- DT4 teve desempenho de 0.9326, 0.9017, 0.9554, 0.9154, 0.9573, 0.9014, 0.08\n",
            "C[4]\t- DT5 teve desempenho de 0.9341, 0.9040, 0.9552, 0.9219, 0.9585, 0.9038, 0.03\n",
            "C[5]\t- RandomForest teve desempenho de 0.8583, 0.8059, 0.8851, 0.9289, 0.9182, 0.8013, 0.43\n",
            "C[6]\t- NaiveBayes teve desempenho de 0.7752, 0.6670, 0.8458, 0.7228, 0.8495, 0.6630, 0.01\n",
            "C[7]\t- AdaBoost teve desempenho de 0.9412, 0.9145, 0.9587, 0.9358, 0.9633, 0.9145, 0.62\n",
            "C[8]\t- NeuralNet teve desempenho de 0.8577, 0.7911, 0.9047, 0.8217, 0.9076, 0.7894, 4.23\n",
            "C[9]\t- RBF-SVM teve desempenho de 0.9439, 0.9193, 0.9562, 0.9569, 0.9656, 0.9191, 40.95\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "esJ0qRdJUhB2",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "outputId": "3a22ec8a-8d1c-4acc-eafe-8e87e2b1ab1b"
      },
      "source": [
        "print(\"--- %s seconds ---\" % (time.time() - start_time))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "--- 1590354597.705688 seconds ---\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "qDoqpgWlTkum",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "237097fb-bced-4690-d7f8-82293eb233b1"
      },
      "source": [
        "bestPerformanceFolds"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'AdaBoost': (AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None, learning_rate=1.0,\n",
              "                     n_estimators=50, random_state=None),\n",
              "  0.9411764705882354,\n",
              "  0.9145079311912225,\n",
              "  (array([0.        , 0.02920962, 1.        ]),\n",
              "   array([0.        , 0.94656489, 1.        ]),\n",
              "   array([2, 1, 0])),\n",
              "  0.958677631751528,\n",
              "  '              precision    recall  f1-score   support\\n\\n           0       0.98      0.97      0.97       582\\n           1       0.94      0.95      0.94       262\\n\\n    accuracy                           0.96       844\\n   macro avg       0.96      0.96      0.96       844\\nweighted avg       0.96      0.96      0.96       844\\n',\n",
              "  0.9358490566037736,\n",
              "  0.9632701421800948,\n",
              "  0.9144766088752909,\n",
              "  array([[565,  17],\n",
              "         [ 14, 248]])),\n",
              " 'DT4': (DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',\n",
              "                         max_depth=4, max_features=None, max_leaf_nodes=None,\n",
              "                         min_impurity_decrease=0.0, min_impurity_split=None,\n",
              "                         min_samples_leaf=1, min_samples_split=2,\n",
              "                         min_weight_fraction_leaf=0.0, presort='deprecated',\n",
              "                         random_state=None, splitter='best'),\n",
              "  0.9274809160305344,\n",
              "  0.8948348679205688,\n",
              "  (array([0.        , 0.03264605, 1.        ]),\n",
              "   array([0.        , 0.92748092, 1.        ]),\n",
              "   array([2, 1, 0])),\n",
              "  0.9474174339602843,\n",
              "  '              precision    recall  f1-score   support\\n\\n           0       0.97      0.97      0.97       582\\n           1       0.93      0.93      0.93       262\\n\\n    accuracy                           0.95       844\\n   macro avg       0.95      0.95      0.95       844\\nweighted avg       0.95      0.95      0.95       844\\n',\n",
              "  0.9274809160305344,\n",
              "  0.9549763033175356,\n",
              "  0.8948348679205687,\n",
              "  array([[563,  19],\n",
              "         [ 19, 243]])),\n",
              " 'DT5': (DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',\n",
              "                         max_depth=5, max_features=None, max_leaf_nodes=None,\n",
              "                         min_impurity_decrease=0.0, min_impurity_split=None,\n",
              "                         min_samples_leaf=1, min_samples_split=2,\n",
              "                         min_weight_fraction_leaf=0.0, presort='deprecated',\n",
              "                         random_state=None, splitter='best'),\n",
              "  0.9340866290018832,\n",
              "  0.9040108358376747,\n",
              "  (array([0.        , 0.03608247, 1.        ]),\n",
              "   array([0.        , 0.94656489, 1.        ]),\n",
              "   array([2, 1, 0])),\n",
              "  0.9552412056346896,\n",
              "  '              precision    recall  f1-score   support\\n\\n           0       0.98      0.96      0.97       582\\n           1       0.92      0.95      0.93       262\\n\\n    accuracy                           0.96       844\\n   macro avg       0.95      0.96      0.95       844\\nweighted avg       0.96      0.96      0.96       844\\n',\n",
              "  0.9219330855018587,\n",
              "  0.9585308056872038,\n",
              "  0.9038436499049504,\n",
              "  array([[561,  21],\n",
              "         [ 14, 248]])),\n",
              " 'DecisionTree': (DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',\n",
              "                         max_depth=3, max_features=None, max_leaf_nodes=None,\n",
              "                         min_impurity_decrease=0.0, min_impurity_split=None,\n",
              "                         min_samples_leaf=1, min_samples_split=2,\n",
              "                         min_weight_fraction_leaf=0.0, presort='deprecated',\n",
              "                         random_state=None, splitter='best'),\n",
              "  0.9190207156308852,\n",
              "  0.8820281761016735,\n",
              "  (array([0.        , 0.04295533, 1.        ]),\n",
              "   array([0.        , 0.93129771, 1.        ]),\n",
              "   array([2, 1, 0])),\n",
              "  0.9441711917315915,\n",
              "  '              precision    recall  f1-score   support\\n\\n           0       0.97      0.96      0.96       582\\n           1       0.91      0.93      0.92       262\\n\\n    accuracy                           0.95       844\\n   macro avg       0.94      0.94      0.94       844\\nweighted avg       0.95      0.95      0.95       844\\n',\n",
              "  0.9070631970260223,\n",
              "  0.9490521327014217,\n",
              "  0.8818650555975105,\n",
              "  array([[557,  25],\n",
              "         [ 18, 244]])),\n",
              " 'KNN': (KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',\n",
              "                       metric_params=None, n_jobs=None, n_neighbors=5, p=2,\n",
              "                       weights='uniform'),\n",
              "  0.3176733780760626,\n",
              "  0.08503961482163624,\n",
              "  (array([0.        , 0.19415808, 1.        ]),\n",
              "   array([0.        , 0.26996198, 1.        ]),\n",
              "   array([2, 1, 0])),\n",
              "  0.5379019507924686,\n",
              "  '              precision    recall  f1-score   support\\n\\n           0       0.71      0.81      0.75       582\\n           1       0.39      0.27      0.32       263\\n\\n    accuracy                           0.64       845\\n   macro avg       0.55      0.54      0.54       845\\nweighted avg       0.61      0.64      0.62       845\\n',\n",
              "  0.3858695652173913,\n",
              "  0.6390532544378699,\n",
              "  0.08260391341646167,\n",
              "  array([[469, 113],\n",
              "         [192,  71]])),\n",
              " 'LogRegression': (LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,\n",
              "                     intercept_scaling=1, l1_ratio=None, max_iter=100,\n",
              "                     multi_class='auto', n_jobs=None, penalty='l2',\n",
              "                     random_state=None, solver='lbfgs', tol=0.0001, verbose=0,\n",
              "                     warm_start=False),\n",
              "  0.8985507246376812,\n",
              "  0.8515849239259531,\n",
              "  (array([0.        , 0.07044674, 1.        ]),\n",
              "   array([0.        , 0.94296578, 1.        ]),\n",
              "   array([2, 1, 0])),\n",
              "  0.9362595220362459,\n",
              "  '              precision    recall  f1-score   support\\n\\n           0       0.97      0.93      0.95       582\\n           1       0.86      0.94      0.90       263\\n\\n    accuracy                           0.93       845\\n   macro avg       0.92      0.94      0.92       845\\nweighted avg       0.94      0.93      0.93       845\\n',\n",
              "  0.8581314878892734,\n",
              "  0.9337278106508876,\n",
              "  0.8495035397836057,\n",
              "  array([[541,  41],\n",
              "         [ 15, 248]])),\n",
              " 'Model': ('Classifier',\n",
              "  'F-Score',\n",
              "  'MCC',\n",
              "  'ROC',\n",
              "  'AUC-ROC',\n",
              "  'Report',\n",
              "  'Precision',\n",
              "  'Acc'),\n",
              " 'RBF-SVM': (SVC(C=1.0, break_ties=False, cache_size=200, class_weight=None, coef0=0.0,\n",
              "      decision_function_shape='ovr', degree=3, gamma='scale', kernel='linear',\n",
              "      max_iter=-1, probability=False, random_state=None, shrinking=True,\n",
              "      tol=0.001, verbose=False),\n",
              "  0.9439071566731141,\n",
              "  0.9193236302611183,\n",
              "  (array([0.        , 0.01890034, 1.        ]),\n",
              "   array([0.        , 0.93129771, 1.        ]),\n",
              "   array([2, 1, 0])),\n",
              "  0.9561986831405261,\n",
              "  '              precision    recall  f1-score   support\\n\\n           0       0.97      0.98      0.98       582\\n           1       0.96      0.93      0.94       262\\n\\n    accuracy                           0.97       844\\n   macro avg       0.96      0.96      0.96       844\\nweighted avg       0.97      0.97      0.97       844\\n',\n",
              "  0.9568627450980393,\n",
              "  0.9656398104265402,\n",
              "  0.9191485425860839,\n",
              "  array([[571,  11],\n",
              "         [ 18, 244]]))}"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 72
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "vpulzvYeWEKs",
        "colab_type": "text"
      },
      "source": [
        "# **Runtime Results**"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "eBl2IDvrWK5P",
        "colab_type": "text"
      },
      "source": [
        "FOLD 4\t- Fscore, Mcc, Auc, Prec, Acc, Kappa, **Runtime**\n",
        "\n",
        "C[0]\t- KNN teve desempenho de 0.9952, 0.9937, 0.9963, 0.9968, 0.9977, 0.9937, **169.056148**\n",
        "\n",
        "C[1]\t- LogRegression teve desempenho de 0.9968, 0.9958, 0.9979, 0.9968, 0.9985, 0.9958, **169.354772**\n",
        "\n",
        "C[2]\t- RBF-SVM teve desempenho de 0.9984, 0.9979, 0.9984, 1.0000, 0.9992, 0.9979, **201.557729**\n",
        "\n",
        "C[3]\t- DecisionTree teve desempenho de 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, **201.607330**\n",
        "\n",
        "C[4]\t- RandomForest teve desempenho de 0.9570, 0.9448, 0.9616, 0.9897, 0.9800, 0.9439, **201.699477**\n",
        "\n",
        "C[5]\t- NeuralNet teve desempenho de 0.9889, 0.9854, 0.9964, 0.9781, 0.9946, 0.9853, **210.295346**\n",
        "\n",
        "C[6]\t- AdaBoost teve desempenho de 0.9968, 0.9958, 0.9968, 1.0000, 0.9985, 0.9958, **210.953584**\n",
        "\n",
        "C[7]\t- NaiveBayes teve desempenho de 0.9483, 0.9331, 0.9827, 0.9017, 0.9738, 0.9308, **210.984642**\n",
        "\n",
        "C[8]\t- QDA teve desempenho de 0.4322, 0.1884, 0.5891, 0.2816, 0.4125, 0.0998, **211.003995**"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "gx_6lLmZwD_g",
        "colab_type": "text"
      },
      "source": [
        "# Model Persistance "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "RZCkH_y4MWOA",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# Create model list\n",
        "listModels = []\n",
        "for key, value in performanceFolds.items():\n",
        "    if(value[0] != 'Classifier'):\n",
        "        listModels.append(value[0])"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "9-LwQIEBwCt3",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 158
        },
        "outputId": "487afc5e-2c0d-4f84-a919-70f06a5ee626"
      },
      "source": [
        "# save the model to disk\n",
        "for key, value in bestPerformanceFolds.items():\n",
        "    filename = 'Modelos/'+key+'.sav'\n",
        "    if key != 'Model': pkl.dump(value[0], open(filename, 'wb')) \n",
        "        \n",
        "!ls -lh \"Modelos\""
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "total 5.4M\n",
            "-rw-r--r-- 1 root root  34K May 24 21:20 AdaBoost.sav\n",
            "-rw-r--r-- 1 root root 2.4K May 24 21:20 DecisionTree.sav\n",
            "-rw-r--r-- 1 root root 3.5K May 24 21:20 DT4.sav\n",
            "-rw-r--r-- 1 root root 5.3K May 24 21:20 DT5.sav\n",
            "-rw-r--r-- 1 root root 4.8M May 24 21:20 KNN.sav\n",
            "-rw-r--r-- 1 root root 1.5K May 24 21:20 LogRegression.sav\n",
            "-rw-r--r-- 1 root root 558K May 24 21:20 RBF-SVM.sav\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "mDS4NC5UTkun",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 88
        },
        "outputId": "72858f49-be10-47aa-b78e-5ffff9df90f9"
      },
      "source": [
        "bestClassifier"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "SVC(C=1.0, break_ties=False, cache_size=200, class_weight=None, coef0=0.0,\n",
              "    decision_function_shape='ovr', degree=3, gamma='scale', kernel='linear',\n",
              "    max_iter=-1, probability=False, random_state=None, shrinking=True,\n",
              "    tol=0.001, verbose=False)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 75
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "YKw4HVLYTkuo",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "outputId": "c44719df-6013-4e16-83fc-59bfa5115ed9"
      },
      "source": [
        "bestFScore"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.9439071566731141"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 76
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "1bWoPfuCTkup",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 123
        },
        "outputId": "9ec41bfe-481f-4fdd-e6a7-12c824e6d488"
      },
      "source": [
        "clfDT = None \n",
        "accuracy = None\n",
        "mcc = None\n",
        "roc = None\n",
        "report = None\n",
        "precision = None\n",
        "fscore = None\n",
        "kappa = None\n",
        "matrix = []\n",
        "\n",
        "if bestPerformanceFolds.get('DT5') != None :\n",
        "    clfDT, accuracy, mcc, roc, rauc, report, precision, fscore, kappa, matrix = bestPerformanceFolds.get('DT5')\n",
        "    print(clfDT)\n",
        "\n",
        "else:\n",
        "    if bestPerformanceFolds.get('DT4') != None :\n",
        "        clfDT, accuracy, mcc, roc, rauc, report, precision, fscore, kappa, matrix = bestPerformanceFolds.get('DT4')\n",
        "        print(clfDT)\n",
        "    else:\n",
        "        if bestPerformanceFolds.get('DecisionTree') != None :\n",
        "            clfDT, accuracy, mcc, roc, rauc, report, precision, fscore, kappa, matrix = bestPerformanceFolds.get('DecisionTree')\n",
        "            print(clfDT)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',\n",
            "                       max_depth=5, max_features=None, max_leaf_nodes=None,\n",
            "                       min_impurity_decrease=0.0, min_impurity_split=None,\n",
            "                       min_samples_leaf=1, min_samples_split=2,\n",
            "                       min_weight_fraction_leaf=0.0, presort='deprecated',\n",
            "                       random_state=None, splitter='best')\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "w0KfWOnPTkuq"
      },
      "source": [
        "# Visualization of The Better Classifier"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "ljQoQL0wTkuq",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "outputId": "022a65c7-5d37-4f84-dbe4-7b933746bec1"
      },
      "source": [
        "dataClass = T.export_graphviz(clfDT, out_file=None, filled=True, rounded=True, proportion=True, \n",
        "                              special_characters=True, feature_names=nameFeatures, class_names=['Evadido','Graduado'], node_ids=True)  \n",
        "graph = gvz.Source(dataClass)\n",
        "graph.render(\"Graficos/clfDTfeatureSelection\") # Save in PDF"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'Graficos/clfDTfeatureSelection.pdf'"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 78
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "3S2bfwUIm_YX",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "outputId": "f1e4dda8-1320-4253-c2dc-feb010ecdc83"
      },
      "source": [
        "filename = ''\n",
        "models = os.listdir(path='Modelos/')\n",
        "for model in models :\n",
        "    if model == 'DecisionTree.sav':\n",
        "        filename = 'Modelos/'+model\n",
        "        print(filename)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Modelos/DecisionTree.sav\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "nWB1ubnIMRma",
        "colab_type": "text"
      },
      "source": [
        "# **Predicting Students in 2014 year**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "mBoAlPChL8Qr",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 652
        },
        "outputId": "2759f3fc-f446-495a-8c78-5b1dac7180aa"
      },
      "source": [
        "dataUniqueVal"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>ENEMLINGUAGEM</th>\n",
              "      <th>ENEMHUMANAS</th>\n",
              "      <th>ENEMNATURAIS</th>\n",
              "      <th>ENEMMATEMATICA</th>\n",
              "      <th>ENEMREDACAO</th>\n",
              "      <th>CR</th>\n",
              "      <th>ANOINGRESSO</th>\n",
              "      <th>SEMESTREINGRESSO</th>\n",
              "      <th>ANODESVINCULACAO</th>\n",
              "      <th>SEMESTREDESVINCULACAO</th>\n",
              "      <th>IDADE</th>\n",
              "      <th>BAIRRO</th>\n",
              "      <th>CEP</th>\n",
              "      <th>CIDADE</th>\n",
              "      <th>MOBILIDADE</th>\n",
              "      <th>ESTADOCIVIL</th>\n",
              "      <th>TRANCAMENTOS</th>\n",
              "      <th>TEMPOPERMANENCIA</th>\n",
              "      <th>SEXO</th>\n",
              "      <th>STATUSFORMACAO</th>\n",
              "      <th>ACAOAFIRMATIVA_AC</th>\n",
              "      <th>ACAOAFIRMATIVA_L1</th>\n",
              "      <th>ACAOAFIRMATIVA_L2</th>\n",
              "      <th>ACAOAFIRMATIVA_L3</th>\n",
              "      <th>ACAOAFIRMATIVA_L4</th>\n",
              "      <th>TURNOATUAL_MATUTINO</th>\n",
              "      <th>TURNOATUAL_NOTURNO</th>\n",
              "      <th>TURNOATUAL_VESPERTINO</th>\n",
              "      <th>COR_BRANCA</th>\n",
              "      <th>COR_INDÍGENA</th>\n",
              "      <th>COR_NEGRA</th>\n",
              "      <th>COR_NÃO DECLARADO</th>\n",
              "      <th>COR_PARDA</th>\n",
              "      <th>CURSO_2</th>\n",
              "      <th>CURSO_3</th>\n",
              "      <th>CURSO_4</th>\n",
              "      <th>CURSO_5</th>\n",
              "      <th>CURSO_6</th>\n",
              "      <th>CURSO_7</th>\n",
              "      <th>CURSO_9</th>\n",
              "      <th>...</th>\n",
              "      <th>CURSO_60</th>\n",
              "      <th>CURSO_61</th>\n",
              "      <th>CURSO_62</th>\n",
              "      <th>CURSO_63</th>\n",
              "      <th>CURSO_64</th>\n",
              "      <th>CURSO_65</th>\n",
              "      <th>CURSO_101</th>\n",
              "      <th>CURSO_102</th>\n",
              "      <th>CURSO_194</th>\n",
              "      <th>CURSO_195</th>\n",
              "      <th>CURSO_201</th>\n",
              "      <th>CURSO_221</th>\n",
              "      <th>CURSO_222</th>\n",
              "      <th>CURSO_241</th>\n",
              "      <th>CURSO_242</th>\n",
              "      <th>CURSO_243</th>\n",
              "      <th>CURSO_244</th>\n",
              "      <th>CURSO_245</th>\n",
              "      <th>CURSO_261</th>\n",
              "      <th>CURSO_262</th>\n",
              "      <th>CURSO_263</th>\n",
              "      <th>CURSO_264</th>\n",
              "      <th>CURSO_282</th>\n",
              "      <th>CURSO_286</th>\n",
              "      <th>CURSO_287</th>\n",
              "      <th>CURSO_288</th>\n",
              "      <th>CURSO_302</th>\n",
              "      <th>CURSO_322</th>\n",
              "      <th>CURSO_342</th>\n",
              "      <th>CURSO_343</th>\n",
              "      <th>CURSO_362</th>\n",
              "      <th>CURSO_382</th>\n",
              "      <th>CURSO_402</th>\n",
              "      <th>CURSO_403</th>\n",
              "      <th>CURSO_422</th>\n",
              "      <th>CURSO_462</th>\n",
              "      <th>CURSO_502</th>\n",
              "      <th>CURSO_522</th>\n",
              "      <th>CURSO_523</th>\n",
              "      <th>CURSO_562</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>616.4</td>\n",
              "      <td>602.8</td>\n",
              "      <td>646.4</td>\n",
              "      <td>696.5</td>\n",
              "      <td>840.0</td>\n",
              "      <td>7.30</td>\n",
              "      <td>2014</td>\n",
              "      <td>1</td>\n",
              "      <td>2018</td>\n",
              "      <td>1</td>\n",
              "      <td>22</td>\n",
              "      <td>VILA JACI</td>\n",
              "      <td>12211370</td>\n",
              "      <td>SÃO JOSÉ DOS CAMPOS</td>\n",
              "      <td>0</td>\n",
              "      <td>SOLTEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>5</td>\n",
              "      <td>M</td>\n",
              "      <td>FORMADO</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>545.4</td>\n",
              "      <td>560.9</td>\n",
              "      <td>508.2</td>\n",
              "      <td>528.0</td>\n",
              "      <td>600.0</td>\n",
              "      <td>7.06</td>\n",
              "      <td>2014</td>\n",
              "      <td>2</td>\n",
              "      <td>2015</td>\n",
              "      <td>1</td>\n",
              "      <td>24</td>\n",
              "      <td>BARRO VERMELHO</td>\n",
              "      <td>24412330</td>\n",
              "      <td>SÃO GONÇALO</td>\n",
              "      <td>0</td>\n",
              "      <td>SOLTEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>F</td>\n",
              "      <td>EVADIDO</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>662.7</td>\n",
              "      <td>632.7</td>\n",
              "      <td>618.4</td>\n",
              "      <td>680.9</td>\n",
              "      <td>680.0</td>\n",
              "      <td>2.20</td>\n",
              "      <td>2014</td>\n",
              "      <td>2</td>\n",
              "      <td>2018</td>\n",
              "      <td>2</td>\n",
              "      <td>22</td>\n",
              "      <td>JARDIM ATLÂNTICO</td>\n",
              "      <td>74343500</td>\n",
              "      <td>GOIÂNIA</td>\n",
              "      <td>0</td>\n",
              "      <td>SOLTEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>5</td>\n",
              "      <td>F</td>\n",
              "      <td>EVADIDO</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>530.5</td>\n",
              "      <td>564.2</td>\n",
              "      <td>465.2</td>\n",
              "      <td>442.4</td>\n",
              "      <td>680.0</td>\n",
              "      <td>5.50</td>\n",
              "      <td>2014</td>\n",
              "      <td>2</td>\n",
              "      <td>2018</td>\n",
              "      <td>2</td>\n",
              "      <td>22</td>\n",
              "      <td>VILA CORTÊS</td>\n",
              "      <td>24890000</td>\n",
              "      <td>TANGUÁ</td>\n",
              "      <td>0</td>\n",
              "      <td>SOLTEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>5</td>\n",
              "      <td>F</td>\n",
              "      <td>EVADIDO</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>577.5</td>\n",
              "      <td>558.6</td>\n",
              "      <td>362.2</td>\n",
              "      <td>472.0</td>\n",
              "      <td>520.0</td>\n",
              "      <td>7.41</td>\n",
              "      <td>2014</td>\n",
              "      <td>2</td>\n",
              "      <td>2015</td>\n",
              "      <td>2</td>\n",
              "      <td>27</td>\n",
              "      <td>MUTONDO</td>\n",
              "      <td>24450400</td>\n",
              "      <td>SÃO GONÇALO</td>\n",
              "      <td>0</td>\n",
              "      <td>SOLTEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>F</td>\n",
              "      <td>EVADIDO</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>259048</th>\n",
              "      <td>580.5</td>\n",
              "      <td>570.1</td>\n",
              "      <td>477.0</td>\n",
              "      <td>451.7</td>\n",
              "      <td>940.0</td>\n",
              "      <td>4.25</td>\n",
              "      <td>2014</td>\n",
              "      <td>1</td>\n",
              "      <td>2014</td>\n",
              "      <td>1</td>\n",
              "      <td>22</td>\n",
              "      <td>ROCHA</td>\n",
              "      <td>24421345</td>\n",
              "      <td>SÃO GONÇALO</td>\n",
              "      <td>0</td>\n",
              "      <td>SOLTEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>F</td>\n",
              "      <td>EVADIDO</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>261786</th>\n",
              "      <td>667.0</td>\n",
              "      <td>774.3</td>\n",
              "      <td>697.0</td>\n",
              "      <td>799.4</td>\n",
              "      <td>680.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>2014</td>\n",
              "      <td>1</td>\n",
              "      <td>2014</td>\n",
              "      <td>1</td>\n",
              "      <td>32</td>\n",
              "      <td>BARRA DA TIJUCA</td>\n",
              "      <td>22793060</td>\n",
              "      <td>RIO DE JANEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>SOLTEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>M</td>\n",
              "      <td>EVADIDO</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>264305</th>\n",
              "      <td>568.2</td>\n",
              "      <td>665.7</td>\n",
              "      <td>592.2</td>\n",
              "      <td>648.9</td>\n",
              "      <td>660.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>2014</td>\n",
              "      <td>2</td>\n",
              "      <td>2014</td>\n",
              "      <td>2</td>\n",
              "      <td>34</td>\n",
              "      <td>VILA VALQUEIRE</td>\n",
              "      <td>21330320</td>\n",
              "      <td>RIO DE JANEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>SOLTEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>F</td>\n",
              "      <td>EVADIDO</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>265343</th>\n",
              "      <td>645.1</td>\n",
              "      <td>667.6</td>\n",
              "      <td>668.8</td>\n",
              "      <td>800.5</td>\n",
              "      <td>680.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>2014</td>\n",
              "      <td>2</td>\n",
              "      <td>2014</td>\n",
              "      <td>2</td>\n",
              "      <td>23</td>\n",
              "      <td>GLÓRIA</td>\n",
              "      <td>20241220</td>\n",
              "      <td>RIO DE JANEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>SOLTEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>M</td>\n",
              "      <td>EVADIDO</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>265438</th>\n",
              "      <td>561.5</td>\n",
              "      <td>563.7</td>\n",
              "      <td>499.0</td>\n",
              "      <td>585.1</td>\n",
              "      <td>800.0</td>\n",
              "      <td>0.75</td>\n",
              "      <td>2014</td>\n",
              "      <td>2</td>\n",
              "      <td>2014</td>\n",
              "      <td>2</td>\n",
              "      <td>29</td>\n",
              "      <td>GALO BRANCO</td>\n",
              "      <td>24422330</td>\n",
              "      <td>SÃO GONÇALO</td>\n",
              "      <td>0</td>\n",
              "      <td>SOLTEIRO</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>M</td>\n",
              "      <td>EVADIDO</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>4528 rows × 126 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "        ENEMLINGUAGEM  ENEMHUMANAS  ...  CURSO_523  CURSO_562\n",
              "1               616.4        602.8  ...          0          0\n",
              "4               545.4        560.9  ...          0          0\n",
              "5               662.7        632.7  ...          0          0\n",
              "6               530.5        564.2  ...          0          0\n",
              "10              577.5        558.6  ...          0          0\n",
              "...               ...          ...  ...        ...        ...\n",
              "259048          580.5        570.1  ...          0          0\n",
              "261786          667.0        774.3  ...          0          0\n",
              "264305          568.2        665.7  ...          0          0\n",
              "265343          645.1        667.6  ...          0          0\n",
              "265438          561.5        563.7  ...          0          0\n",
              "\n",
              "[4528 rows x 126 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 80
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "GvMWlRDAMknr",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "allClassesVal = dataUniqueVal['STATUSFORMACAO'].values\n",
        "allFeaturesVal = dataUniqueVal.drop(columns=['STATUSFORMACAO'], axis=1)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Tmrj8_msRLDW",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 565
        },
        "outputId": "fb9def82-61fa-438e-ebdf-56b1e915b933"
      },
      "source": [
        "allFeaturesVal = allFeaturesVal.drop(columns=featureNotSelected)\n",
        "allFeaturesVal"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>ENEMLINGUAGEM</th>\n",
              "      <th>ENEMNATURAIS</th>\n",
              "      <th>ENEMREDACAO</th>\n",
              "      <th>CR</th>\n",
              "      <th>ANOINGRESSO</th>\n",
              "      <th>SEMESTREINGRESSO</th>\n",
              "      <th>ANODESVINCULACAO</th>\n",
              "      <th>SEMESTREDESVINCULACAO</th>\n",
              "      <th>BAIRRO</th>\n",
              "      <th>TRANCAMENTOS</th>\n",
              "      <th>SEXO</th>\n",
              "      <th>ACAOAFIRMATIVA_AC</th>\n",
              "      <th>ACAOAFIRMATIVA_L1</th>\n",
              "      <th>TURNOATUAL_NOTURNO</th>\n",
              "      <th>COR_BRANCA</th>\n",
              "      <th>COR_INDÍGENA</th>\n",
              "      <th>COR_NÃO DECLARADO</th>\n",
              "      <th>COR_PARDA</th>\n",
              "      <th>CURSO_2</th>\n",
              "      <th>CURSO_5</th>\n",
              "      <th>CURSO_6</th>\n",
              "      <th>CURSO_7</th>\n",
              "      <th>CURSO_9</th>\n",
              "      <th>CURSO_15</th>\n",
              "      <th>CURSO_16</th>\n",
              "      <th>CURSO_17</th>\n",
              "      <th>CURSO_18</th>\n",
              "      <th>CURSO_21</th>\n",
              "      <th>CURSO_22</th>\n",
              "      <th>CURSO_23</th>\n",
              "      <th>CURSO_24</th>\n",
              "      <th>CURSO_26</th>\n",
              "      <th>CURSO_28</th>\n",
              "      <th>CURSO_30</th>\n",
              "      <th>CURSO_31</th>\n",
              "      <th>CURSO_32</th>\n",
              "      <th>CURSO_33</th>\n",
              "      <th>CURSO_35</th>\n",
              "      <th>CURSO_36</th>\n",
              "      <th>CURSO_37</th>\n",
              "      <th>CURSO_39</th>\n",
              "      <th>CURSO_40</th>\n",
              "      <th>CURSO_41</th>\n",
              "      <th>CURSO_42</th>\n",
              "      <th>CURSO_43</th>\n",
              "      <th>CURSO_44</th>\n",
              "      <th>CURSO_45</th>\n",
              "      <th>CURSO_46</th>\n",
              "      <th>CURSO_47</th>\n",
              "      <th>CURSO_48</th>\n",
              "      <th>CURSO_50</th>\n",
              "      <th>CURSO_51</th>\n",
              "      <th>CURSO_53</th>\n",
              "      <th>CURSO_59</th>\n",
              "      <th>CURSO_60</th>\n",
              "      <th>CURSO_61</th>\n",
              "      <th>CURSO_62</th>\n",
              "      <th>CURSO_65</th>\n",
              "      <th>CURSO_102</th>\n",
              "      <th>CURSO_194</th>\n",
              "      <th>CURSO_195</th>\n",
              "      <th>CURSO_244</th>\n",
              "      <th>CURSO_245</th>\n",
              "      <th>CURSO_262</th>\n",
              "      <th>CURSO_263</th>\n",
              "      <th>CURSO_264</th>\n",
              "      <th>CURSO_322</th>\n",
              "      <th>CURSO_342</th>\n",
              "      <th>CURSO_362</th>\n",
              "      <th>CURSO_382</th>\n",
              "      <th>CURSO_403</th>\n",
              "      <th>CURSO_502</th>\n",
              "      <th>CURSO_522</th>\n",
              "      <th>CURSO_523</th>\n",
              "      <th>CURSO_562</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>616.4</td>\n",
              "      <td>646.4</td>\n",
              "      <td>840.0</td>\n",
              "      <td>7.30</td>\n",
              "      <td>2014</td>\n",
              "      <td>1</td>\n",
              "      <td>2018</td>\n",
              "      <td>1</td>\n",
              "      <td>VILA JACI</td>\n",
              "      <td>0</td>\n",
              "      <td>M</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
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              "      <td>0</td>\n",
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              "      <td>0</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>545.4</td>\n",
              "      <td>508.2</td>\n",
              "      <td>600.0</td>\n",
              "      <td>7.06</td>\n",
              "      <td>2014</td>\n",
              "      <td>2</td>\n",
              "      <td>2015</td>\n",
              "      <td>1</td>\n",
              "      <td>BARRO VERMELHO</td>\n",
              "      <td>0</td>\n",
              "      <td>F</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>662.7</td>\n",
              "      <td>618.4</td>\n",
              "      <td>680.0</td>\n",
              "      <td>2.20</td>\n",
              "      <td>2014</td>\n",
              "      <td>2</td>\n",
              "      <td>2018</td>\n",
              "      <td>2</td>\n",
              "      <td>JARDIM ATLÂNTICO</td>\n",
              "      <td>0</td>\n",
              "      <td>F</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>530.5</td>\n",
              "      <td>465.2</td>\n",
              "      <td>680.0</td>\n",
              "      <td>5.50</td>\n",
              "      <td>2014</td>\n",
              "      <td>2</td>\n",
              "      <td>2018</td>\n",
              "      <td>2</td>\n",
              "      <td>VILA CORTÊS</td>\n",
              "      <td>0</td>\n",
              "      <td>F</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>577.5</td>\n",
              "      <td>362.2</td>\n",
              "      <td>520.0</td>\n",
              "      <td>7.41</td>\n",
              "      <td>2014</td>\n",
              "      <td>2</td>\n",
              "      <td>2015</td>\n",
              "      <td>2</td>\n",
              "      <td>MUTONDO</td>\n",
              "      <td>0</td>\n",
              "      <td>F</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>259048</th>\n",
              "      <td>580.5</td>\n",
              "      <td>477.0</td>\n",
              "      <td>940.0</td>\n",
              "      <td>4.25</td>\n",
              "      <td>2014</td>\n",
              "      <td>1</td>\n",
              "      <td>2014</td>\n",
              "      <td>1</td>\n",
              "      <td>ROCHA</td>\n",
              "      <td>0</td>\n",
              "      <td>F</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>261786</th>\n",
              "      <td>667.0</td>\n",
              "      <td>697.0</td>\n",
              "      <td>680.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>2014</td>\n",
              "      <td>1</td>\n",
              "      <td>2014</td>\n",
              "      <td>1</td>\n",
              "      <td>BARRA DA TIJUCA</td>\n",
              "      <td>0</td>\n",
              "      <td>M</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>264305</th>\n",
              "      <td>568.2</td>\n",
              "      <td>592.2</td>\n",
              "      <td>660.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>2014</td>\n",
              "      <td>2</td>\n",
              "      <td>2014</td>\n",
              "      <td>2</td>\n",
              "      <td>VILA VALQUEIRE</td>\n",
              "      <td>0</td>\n",
              "      <td>F</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>265343</th>\n",
              "      <td>645.1</td>\n",
              "      <td>668.8</td>\n",
              "      <td>680.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>2014</td>\n",
              "      <td>2</td>\n",
              "      <td>2014</td>\n",
              "      <td>2</td>\n",
              "      <td>GLÓRIA</td>\n",
              "      <td>0</td>\n",
              "      <td>M</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>265438</th>\n",
              "      <td>561.5</td>\n",
              "      <td>499.0</td>\n",
              "      <td>800.0</td>\n",
              "      <td>0.75</td>\n",
              "      <td>2014</td>\n",
              "      <td>2</td>\n",
              "      <td>2014</td>\n",
              "      <td>2</td>\n",
              "      <td>GALO BRANCO</td>\n",
              "      <td>0</td>\n",
              "      <td>M</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>4528 rows × 75 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "        ENEMLINGUAGEM  ENEMNATURAIS  ...  CURSO_523  CURSO_562\n",
              "1               616.4         646.4  ...          0          0\n",
              "4               545.4         508.2  ...          0          0\n",
              "5               662.7         618.4  ...          0          0\n",
              "6               530.5         465.2  ...          0          0\n",
              "10              577.5         362.2  ...          0          0\n",
              "...               ...           ...  ...        ...        ...\n",
              "259048          580.5         477.0  ...          0          0\n",
              "261786          667.0         697.0  ...          0          0\n",
              "264305          568.2         592.2  ...          0          0\n",
              "265343          645.1         668.8  ...          0          0\n",
              "265438          561.5         499.0  ...          0          0\n",
              "\n",
              "[4528 rows x 75 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 82
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_OnL5dobds9o",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "lbl = LabelEncoder()\n",
        "lbl.fit(list(allClassesVal))\n",
        "allClassesVal = lbl.transform(allClassesVal)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5ojxRBigd2zb",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "outputId": "66e3dc8b-60fe-41e9-e16a-842ad5d0e9b6"
      },
      "source": [
        "allClassesVal"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([1, 0, 0, ..., 0, 0, 0])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 84
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "jKkdYLffZ_sU",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "fe221676-83c0-4e6c-9110-6fbe7b056632"
      },
      "source": [
        "list(allFeaturesVal)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['ENEMLINGUAGEM',\n",
              " 'ENEMNATURAIS',\n",
              " 'ENEMREDACAO',\n",
              " 'CR',\n",
              " 'ANOINGRESSO',\n",
              " 'SEMESTREINGRESSO',\n",
              " 'ANODESVINCULACAO',\n",
              " 'SEMESTREDESVINCULACAO',\n",
              " 'BAIRRO',\n",
              " 'TRANCAMENTOS',\n",
              " 'SEXO',\n",
              " 'ACAOAFIRMATIVA_AC',\n",
              " 'ACAOAFIRMATIVA_L1',\n",
              " 'TURNOATUAL_NOTURNO',\n",
              " 'COR_BRANCA',\n",
              " 'COR_INDÍGENA',\n",
              " 'COR_NÃO DECLARADO',\n",
              " 'COR_PARDA',\n",
              " 'CURSO_2',\n",
              " 'CURSO_5',\n",
              " 'CURSO_6',\n",
              " 'CURSO_7',\n",
              " 'CURSO_9',\n",
              " 'CURSO_15',\n",
              " 'CURSO_16',\n",
              " 'CURSO_17',\n",
              " 'CURSO_18',\n",
              " 'CURSO_21',\n",
              " 'CURSO_22',\n",
              " 'CURSO_23',\n",
              " 'CURSO_24',\n",
              " 'CURSO_26',\n",
              " 'CURSO_28',\n",
              " 'CURSO_30',\n",
              " 'CURSO_31',\n",
              " 'CURSO_32',\n",
              " 'CURSO_33',\n",
              " 'CURSO_35',\n",
              " 'CURSO_36',\n",
              " 'CURSO_37',\n",
              " 'CURSO_39',\n",
              " 'CURSO_40',\n",
              " 'CURSO_41',\n",
              " 'CURSO_42',\n",
              " 'CURSO_43',\n",
              " 'CURSO_44',\n",
              " 'CURSO_45',\n",
              " 'CURSO_46',\n",
              " 'CURSO_47',\n",
              " 'CURSO_48',\n",
              " 'CURSO_50',\n",
              " 'CURSO_51',\n",
              " 'CURSO_53',\n",
              " 'CURSO_59',\n",
              " 'CURSO_60',\n",
              " 'CURSO_61',\n",
              " 'CURSO_62',\n",
              " 'CURSO_65',\n",
              " 'CURSO_102',\n",
              " 'CURSO_194',\n",
              " 'CURSO_195',\n",
              " 'CURSO_244',\n",
              " 'CURSO_245',\n",
              " 'CURSO_262',\n",
              " 'CURSO_263',\n",
              " 'CURSO_264',\n",
              " 'CURSO_322',\n",
              " 'CURSO_342',\n",
              " 'CURSO_362',\n",
              " 'CURSO_382',\n",
              " 'CURSO_403',\n",
              " 'CURSO_502',\n",
              " 'CURSO_522',\n",
              " 'CURSO_523',\n",
              " 'CURSO_562']"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 85
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "cUqS7JzgcbJ-",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "for c in allFeaturesVal.columns:\n",
        "    if allFeaturesVal[c].dtype == 'object':\n",
        "        lbl = LabelEncoder()\n",
        "        lbl.fit(list(allFeaturesVal[c].values))\n",
        "        allFeaturesVal[c] = lbl.transform(list(allFeaturesVal[c].values))"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "9Kd0FG23c6q0",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 229
        },
        "outputId": "f984152c-fe50-42b0-b69f-52907ed2ce14"
      },
      "source": [
        "allFeaturesVal.dtypes"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "ENEMLINGUAGEM    float64\n",
              "ENEMNATURAIS     float64\n",
              "ENEMREDACAO      float64\n",
              "CR               float64\n",
              "ANOINGRESSO        int64\n",
              "                  ...   \n",
              "CURSO_403          uint8\n",
              "CURSO_502          uint8\n",
              "CURSO_522          uint8\n",
              "CURSO_523          uint8\n",
              "CURSO_562          uint8\n",
              "Length: 75, dtype: object"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 87
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ccOnFsJXckZc",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 141
        },
        "outputId": "17d16195-1ec7-4753-95f1-df442e98c6bd"
      },
      "source": [
        "allFeaturesVal = np.array(allFeaturesVal.values, dtype=np.float64)\n",
        "print(allFeaturesVal)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[[616.4 646.4 840.  ...   0.    0.    0. ]\n",
            " [545.4 508.2 600.  ...   0.    0.    0. ]\n",
            " [662.7 618.4 680.  ...   0.    0.    0. ]\n",
            " ...\n",
            " [568.2 592.2 660.  ...   0.    0.    0. ]\n",
            " [645.1 668.8 680.  ...   0.    0.    0. ]\n",
            " [561.5 499.  800.  ...   0.    0.    0. ]]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1DwdR9sytUzn",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "outputId": "85cbcdcf-d861-4ce8-95c6-82ffa75c4838"
      },
      "source": [
        "filename = ''\n",
        "models = os.listdir(path='Modelos/')\n",
        "for model in models :\n",
        "    if model == 'DecisionTree.sav':\n",
        "        filename = 'Modelos/'+model\n",
        "        print(filename)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Modelos/DecisionTree.sav\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "hD2QAhvPtMK3",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "outputId": "5e843d02-73a2-4445-9732-fefaa3afe327"
      },
      "source": [
        "dataClass = T.export_graphviz(clfDT, out_file=None, filled=True, rounded=True, proportion=True,\n",
        "            special_characters=True, feature_names=nameFeatures, class_names=['Evadido','Graduado'], node_ids=True)  \n",
        "graph = gvz.Source(dataClass)\n",
        "graph.render(\"Graficos/clfDTfeatureSelectionVal\") # Save in PDF"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'Graficos/clfDTfeatureSelectionVal.pdf'"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 90
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "IRxA7uJ-nkB6",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "2f2e71be-0f66-4623-e98c-ef1fcc526f31"
      },
      "source": [
        "bestPerformanceFoldsVal = {}\n",
        "bestPerformanceFoldsVal['Model'] = 'Classifier','F-Score','MCC','ROC','AUC-ROC','Report','Precision','Acc'\n",
        "\n",
        "# load the model from disk\n",
        "# models = os.listdir(path='Modelos/')\n",
        "for model in listModels:\n",
        "    \n",
        "    #clf = pkl.load(open('Modelos/'+model, 'rb'))\n",
        "    prediction = model.predict(allFeaturesVal)\n",
        "    mcc = matthews_corrcoef(allClassesVal, prediction)\n",
        "    roc = roc_curve(allClassesVal, prediction)\n",
        "    rauc = roc_auc_score(allClassesVal, prediction)\n",
        "    report = classification_report(allClassesVal, prediction)\n",
        "    prec = precision_score(allClassesVal, prediction)\n",
        "    fscore = f1_score(allClassesVal, prediction)\n",
        "    kappa = cohen_kappa_score(allClassesVal, prediction)\n",
        "    matrix = confusion_matrix(allClassesVal, prediction)\n",
        "    acc = accuracy_score(allClassesVal, prediction)\n",
        "\n",
        "    bestPerformanceFoldsVal[name] = model, fscore, mcc, roc, rauc, report, prec, acc, kappa, matrix\n",
        "    print(\"%s teve desempenho de %.4f, %.4f, %.4f, %.4f, %.4f, %.4f \\n\\n\"%(model,fscore,mcc,rauc,prec,acc,kappa))\n",
        "    print(matrix)\n",
        "    print(report)\n",
        "    print(\"----------------------------------------------------------------------------------------------------------\\n\\n\")"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',\n",
            "                     metric_params=None, n_jobs=None, n_neighbors=5, p=2,\n",
            "                     weights='uniform') teve desempenho de 0.1558, 0.0243, 0.5150, 0.1250, 0.7560, 0.0233 \n",
            "\n",
            "\n",
            "[[3321  714]\n",
            " [ 391  102]]\n",
            "              precision    recall  f1-score   support\n",
            "\n",
            "           0       0.89      0.82      0.86      4035\n",
            "           1       0.12      0.21      0.16       493\n",
            "\n",
            "    accuracy                           0.76      4528\n",
            "   macro avg       0.51      0.51      0.51      4528\n",
            "weighted avg       0.81      0.76      0.78      4528\n",
            "\n",
            "----------------------------------------------------------------------------------------------------------\n",
            "\n",
            "\n",
            "LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,\n",
            "                   intercept_scaling=1, l1_ratio=None, max_iter=100,\n",
            "                   multi_class='auto', n_jobs=None, penalty='l2',\n",
            "                   random_state=None, solver='lbfgs', tol=0.0001, verbose=0,\n",
            "                   warm_start=False) teve desempenho de 0.7453, 0.7161, 0.8946, 0.6699, 0.9375, 0.7102 \n",
            "\n",
            "\n",
            "[[3831  204]\n",
            " [  79  414]]\n",
            "              precision    recall  f1-score   support\n",
            "\n",
            "           0       0.98      0.95      0.96      4035\n",
            "           1       0.67      0.84      0.75       493\n",
            "\n",
            "    accuracy                           0.94      4528\n",
            "   macro avg       0.82      0.89      0.85      4528\n",
            "weighted avg       0.95      0.94      0.94      4528\n",
            "\n",
            "----------------------------------------------------------------------------------------------------------\n",
            "\n",
            "\n",
            "DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',\n",
            "                       max_depth=3, max_features=None, max_leaf_nodes=None,\n",
            "                       min_impurity_decrease=0.0, min_impurity_split=None,\n",
            "                       min_samples_leaf=1, min_samples_split=2,\n",
            "                       min_weight_fraction_leaf=0.0, presort='deprecated',\n",
            "                       random_state=None, splitter='best') teve desempenho de 0.6307, 0.6175, 0.9098, 0.4723, 0.8790, 0.5679 \n",
            "\n",
            "\n",
            "[[3512  523]\n",
            " [  25  468]]\n",
            "              precision    recall  f1-score   support\n",
            "\n",
            "           0       0.99      0.87      0.93      4035\n",
            "           1       0.47      0.95      0.63       493\n",
            "\n",
            "    accuracy                           0.88      4528\n",
            "   macro avg       0.73      0.91      0.78      4528\n",
            "weighted avg       0.94      0.88      0.90      4528\n",
            "\n",
            "----------------------------------------------------------------------------------------------------------\n",
            "\n",
            "\n",
            "DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',\n",
            "                       max_depth=4, max_features=None, max_leaf_nodes=None,\n",
            "                       min_impurity_decrease=0.0, min_impurity_split=None,\n",
            "                       min_samples_leaf=1, min_samples_split=2,\n",
            "                       min_weight_fraction_leaf=0.0, presort='deprecated',\n",
            "                       random_state=None, splitter='best') teve desempenho de 0.6982, 0.6819, 0.9253, 0.5542, 0.9112, 0.6502 \n",
            "\n",
            "\n",
            "[[3661  374]\n",
            " [  28  465]]\n",
            "              precision    recall  f1-score   support\n",
            "\n",
            "           0       0.99      0.91      0.95      4035\n",
            "           1       0.55      0.94      0.70       493\n",
            "\n",
            "    accuracy                           0.91      4528\n",
            "   macro avg       0.77      0.93      0.82      4528\n",
            "weighted avg       0.94      0.91      0.92      4528\n",
            "\n",
            "----------------------------------------------------------------------------------------------------------\n",
            "\n",
            "\n",
            "DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',\n",
            "                       max_depth=5, max_features=None, max_leaf_nodes=None,\n",
            "                       min_impurity_decrease=0.0, min_impurity_split=None,\n",
            "                       min_samples_leaf=1, min_samples_split=2,\n",
            "                       min_weight_fraction_leaf=0.0, presort='deprecated',\n",
            "                       random_state=None, splitter='best') teve desempenho de 0.7046, 0.6878, 0.9260, 0.5631, 0.9141, 0.6580 \n",
            "\n",
            "\n",
            "[[3675  360]\n",
            " [  29  464]]\n",
            "              precision    recall  f1-score   support\n",
            "\n",
            "           0       0.99      0.91      0.95      4035\n",
            "           1       0.56      0.94      0.70       493\n",
            "\n",
            "    accuracy                           0.91      4528\n",
            "   macro avg       0.78      0.93      0.83      4528\n",
            "weighted avg       0.95      0.91      0.92      4528\n",
            "\n",
            "----------------------------------------------------------------------------------------------------------\n",
            "\n",
            "\n",
            "RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,\n",
            "                       criterion='gini', max_depth=5, max_features='auto',\n",
            "                       max_leaf_nodes=None, max_samples=None,\n",
            "                       min_impurity_decrease=0.0, min_impurity_split=None,\n",
            "                       min_samples_leaf=1, min_samples_split=2,\n",
            "                       min_weight_fraction_leaf=0.0, n_estimators=100,\n",
            "                       n_jobs=None, oob_score=False, random_state=None,\n",
            "                       verbose=0, warm_start=False) teve desempenho de 0.7165, 0.6897, 0.9025, 0.6070, 0.9247, 0.6747 \n",
            "\n",
            "\n",
            "[[3756  279]\n",
            " [  62  431]]\n",
            "              precision    recall  f1-score   support\n",
            "\n",
            "           0       0.98      0.93      0.96      4035\n",
            "           1       0.61      0.87      0.72       493\n",
            "\n",
            "    accuracy                           0.92      4528\n",
            "   macro avg       0.80      0.90      0.84      4528\n",
            "weighted avg       0.94      0.92      0.93      4528\n",
            "\n",
            "----------------------------------------------------------------------------------------------------------\n",
            "\n",
            "\n",
            "GaussianNB(priors=None, var_smoothing=1e-09) teve desempenho de 0.4356, 0.4109, 0.8121, 0.2879, 0.7476, 0.3242 \n",
            "\n",
            "\n",
            "[[2944 1091]\n",
            " [  52  441]]\n",
            "              precision    recall  f1-score   support\n",
            "\n",
            "           0       0.98      0.73      0.84      4035\n",
            "           1       0.29      0.89      0.44       493\n",
            "\n",
            "    accuracy                           0.75      4528\n",
            "   macro avg       0.64      0.81      0.64      4528\n",
            "weighted avg       0.91      0.75      0.79      4528\n",
            "\n",
            "----------------------------------------------------------------------------------------------------------\n",
            "\n",
            "\n",
            "AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None, learning_rate=1.0,\n",
            "                   n_estimators=50, random_state=None) teve desempenho de 0.7137, 0.6988, 0.9328, 0.5704, 0.9167, 0.6686 \n",
            "\n",
            "\n",
            "[[3681  354]\n",
            " [  23  470]]\n",
            "              precision    recall  f1-score   support\n",
            "\n",
            "           0       0.99      0.91      0.95      4035\n",
            "           1       0.57      0.95      0.71       493\n",
            "\n",
            "    accuracy                           0.92      4528\n",
            "   macro avg       0.78      0.93      0.83      4528\n",
            "weighted avg       0.95      0.92      0.93      4528\n",
            "\n",
            "----------------------------------------------------------------------------------------------------------\n",
            "\n",
            "\n",
            "MLPClassifier(activation='relu', alpha=0.0001, batch_size='auto', beta_1=0.9,\n",
            "              beta_2=0.999, early_stopping=False, epsilon=1e-08,\n",
            "              hidden_layer_sizes=(100,), learning_rate='constant',\n",
            "              learning_rate_init=0.001, max_fun=15000, max_iter=200,\n",
            "              momentum=0.9, n_iter_no_change=10, nesterovs_momentum=True,\n",
            "              power_t=0.5, random_state=None, shuffle=True, solver='adam',\n",
            "              tol=0.0001, validation_fraction=0.1, verbose=False,\n",
            "              warm_start=False) teve desempenho de 0.5969, 0.5797, 0.8907, 0.4406, 0.8640, 0.5271 \n",
            "\n",
            "\n",
            "[[3456  579]\n",
            " [  37  456]]\n",
            "              precision    recall  f1-score   support\n",
            "\n",
            "           0       0.99      0.86      0.92      4035\n",
            "           1       0.44      0.92      0.60       493\n",
            "\n",
            "    accuracy                           0.86      4528\n",
            "   macro avg       0.71      0.89      0.76      4528\n",
            "weighted avg       0.93      0.86      0.88      4528\n",
            "\n",
            "----------------------------------------------------------------------------------------------------------\n",
            "\n",
            "\n",
            "SVC(C=1.0, break_ties=False, cache_size=200, class_weight=None, coef0=0.0,\n",
            "    decision_function_shape='ovr', degree=3, gamma='scale', kernel='linear',\n",
            "    max_iter=-1, probability=False, random_state=None, shrinking=True,\n",
            "    tol=0.001, verbose=False) teve desempenho de 0.7761, 0.7483, 0.8862, 0.7491, 0.9494, 0.7477 \n",
            "\n",
            "\n",
            "[[3902  133]\n",
            " [  96  397]]\n",
            "              precision    recall  f1-score   support\n",
            "\n",
            "           0       0.98      0.97      0.97      4035\n",
            "           1       0.75      0.81      0.78       493\n",
            "\n",
            "    accuracy                           0.95      4528\n",
            "   macro avg       0.86      0.89      0.87      4528\n",
            "weighted avg       0.95      0.95      0.95      4528\n",
            "\n",
            "----------------------------------------------------------------------------------------------------------\n",
            "\n",
            "\n"
          ],
          "name": "stdout"
        }
      ]
    }
  ]
}