Supervised_learning_example.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "b009e0bd-45f8-4a31-8292-90ca493daed1",
   "metadata": {},
   "source": [
    "## Is it a cat?\n",
    "\n",
    "Author: Alan Rivas\n",
    "This code was created in the certification python course with the compay Crystal"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "434285e8-4296-4179-bb0a-1503254333e7",
   "metadata": {},
   "source": [
    "## Import libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "d8ccb166-6938-4d90-a820-d5513dc36b7a",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "from matplotlib import pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "22c9446b-6a07-4f8b-ac48-d40d3763bb30",
   "metadata": {},
   "source": [
    "## Read data set"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "c3e535ea-493c-46b8-8951-a04b3138193c",
   "metadata": {},
   "outputs": [],
   "source": [
    "data=pd.read_csv(\"masotas_simulation.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "dfd1da26-e099-438e-99f9-335a3cd1eed1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 1278 entries, 0 to 1277\n",
      "Data columns (total 5 columns):\n",
      " #   Column                Non-Null Count  Dtype  \n",
      "---  ------                --------------  -----  \n",
      " 0   longitud_bigotes_cms  1278 non-null   float64\n",
      " 1   peso_gr               1278 non-null   float64\n",
      " 2   longitud_piernas_cms  1278 non-null   float64\n",
      " 3   tipo_orejas           1278 non-null   object \n",
      " 4   animal                1278 non-null   object \n",
      "dtypes: float64(3), object(2)\n",
      "memory usage: 50.0+ KB\n"
     ]
    }
   ],
   "source": [
    "data.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "58c15c45-c294-48f3-861c-8afba0b53952",
   "metadata": {},
   "outputs": [],
   "source": [
    "data=data.join(pd.get_dummies(data.tipo_orejas)).copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "049978cc-eb8c-4665-8ba5-c4735b276e23",
   "metadata": {},
   "outputs": [
    {
     "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>longitud_bigotes_cms</th>\n",
       "      <th>peso_gr</th>\n",
       "      <th>longitud_piernas_cms</th>\n",
       "      <th>Ovaladas</th>\n",
       "      <th>Puntiagudas</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>longitud_bigotes_cms</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.223673</td>\n",
       "      <td>-0.013095</td>\n",
       "      <td>-0.387929</td>\n",
       "      <td>0.387929</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>peso_gr</th>\n",
       "      <td>0.223673</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.858445</td>\n",
       "      <td>0.427902</td>\n",
       "      <td>-0.427902</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>longitud_piernas_cms</th>\n",
       "      <td>-0.013095</td>\n",
       "      <td>0.858445</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.516770</td>\n",
       "      <td>-0.516770</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ovaladas</th>\n",
       "      <td>-0.387929</td>\n",
       "      <td>0.427902</td>\n",
       "      <td>0.516770</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Puntiagudas</th>\n",
       "      <td>0.387929</td>\n",
       "      <td>-0.427902</td>\n",
       "      <td>-0.516770</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      longitud_bigotes_cms   peso_gr  longitud_piernas_cms  \\\n",
       "longitud_bigotes_cms              1.000000  0.223673             -0.013095   \n",
       "peso_gr                           0.223673  1.000000              0.858445   \n",
       "longitud_piernas_cms             -0.013095  0.858445              1.000000   \n",
       "Ovaladas                         -0.387929  0.427902              0.516770   \n",
       "Puntiagudas                       0.387929 -0.427902             -0.516770   \n",
       "\n",
       "                      Ovaladas  Puntiagudas  \n",
       "longitud_bigotes_cms -0.387929     0.387929  \n",
       "peso_gr               0.427902    -0.427902  \n",
       "longitud_piernas_cms  0.516770    -0.516770  \n",
       "Ovaladas              1.000000    -1.000000  \n",
       "Puntiagudas          -1.000000     1.000000  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "8f3791d7-68b4-4397-a617-6bb81087782b",
   "metadata": {},
   "outputs": [
    {
     "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>longitud_bigotes_cms</th>\n",
       "      <th>peso_gr</th>\n",
       "      <th>longitud_piernas_cms</th>\n",
       "      <th>animal</th>\n",
       "      <th>Puntiagudas</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5.0</td>\n",
       "      <td>10000.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>Perro</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>9.0</td>\n",
       "      <td>3400.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>Perro</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>10.0</td>\n",
       "      <td>4000.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>Gato</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>6.0</td>\n",
       "      <td>3620.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>Gato</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>7.0</td>\n",
       "      <td>25000.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>Perro</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   longitud_bigotes_cms  peso_gr  longitud_piernas_cms animal  Puntiagudas\n",
       "0                   5.0  10000.0                  32.0  Perro            1\n",
       "1                   9.0   3400.0                  32.0  Perro            0\n",
       "2                  10.0   4000.0                  15.0   Gato            1\n",
       "3                   6.0   3620.0                  15.0   Gato            1\n",
       "4                   7.0  25000.0                  15.0  Perro            0"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.drop([\"tipo_orejas\",\"Ovaladas\"],axis=1,inplace=True)\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "c1ab8efa-5519-4bef-a986-21bd4d833629",
   "metadata": {},
   "outputs": [],
   "source": [
    "X=data.drop([\"animal\"],axis=1).copy()\n",
    "y=data.animal.apply(lambda x: 1 if x==\"Perro\" else 0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "f9ec673f-c7eb-429b-af1b-d906c1dc961d",
   "metadata": {},
   "outputs": [],
   "source": [
    "data[\"animal_num\"]=y"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "0d075047-d8be-435c-9a2f-54a5f524e710",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=42)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bf92746f-6e0f-4f2f-b666-5c7c54cc4eaf",
   "metadata": {},
   "source": [
    "## Features Scaling\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "aef72194-7ed5-4d34-a39e-3333bcd9eefc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "MinMaxScaler()"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.preprocessing import MinMaxScaler\n",
    "\n",
    "scaler=MinMaxScaler()\n",
    "scaler.fit(X_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "06c3d380-889d-4d08-b884-4a02b26a8bab",
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train_tranformada=scaler.transform(X_train)\n",
    "X_test_transormada=scaler.transform(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "ec78c293-3bf0-4410-84e8-24d91d5b3eb0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[0.48888889, 0.06741703, 0.23763179, 1.        ],\n",
       "       [0.4       , 0.09073593, 0.22141119, 1.        ],\n",
       "       [0.26666667, 0.20509091, 0.46472019, 1.        ],\n",
       "       ...,\n",
       "       [0.46666667, 0.05887446, 0.18317692, 1.        ],\n",
       "       [0.45714286, 0.05442177, 0.12756343, 1.        ],\n",
       "       [0.45925926, 0.05202501, 0.17788592, 1.        ]])"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train_tranformada"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0742aa46-e215-4fc6-ade2-78956361d541",
   "metadata": {},
   "source": [
    "# Logistic model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "9c44fddd-c048-47d1-a049-6e15b2e5b456",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "LogisticRegression()"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.linear_model import LogisticRegression\n",
    "\n",
    "model_logit=LogisticRegression()\n",
    "model_logit.fit(X_train_tranformada,y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "bdc2a8ca-2206-485e-92dd-6c63f6e144ba",
   "metadata": {},
   "outputs": [],
   "source": [
    "y_hat=model_logit.predict(X_test_transormada)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "808ad0ef-6ed4-443d-b4e8-1d22aa8e9349",
   "metadata": {},
   "source": [
    "## Model evaluation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "beedb46c-c308-49cb-93a7-e6b9aacf8e55",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[130,   0],\n",
       "       [  2, 252]], dtype=int64)"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.metrics import confusion_matrix,accuracy_score,f1_score,roc_auc_score\n",
    "\n",
    "confusion_matrix(y_test,y_hat)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "ccdef03f-8dd9-453e-9da0-d456b737103e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9947916666666666"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model_logit_acc=accuracy_score(y_test,y_hat)\n",
    "model_logit_acc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "d878f578-c0aa-4fd0-988e-f066f54f01a2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9960474308300395"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model_logit_f1=f1_score(y_test,y_hat)\n",
    "model_logit_f1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "60f46b49-da29-4112-8ad5-6fa80805d12b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9960629921259843"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model_logit_auc=roc_auc_score(y_test,y_hat)\n",
    "model_logit_auc"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7b5334b7-bb4e-45df-9040-dc450c121c42",
   "metadata": {},
   "source": [
    "### Model interpretation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "f31d1b14-a2de-497e-87eb-de7b880d97c0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.barh(list(X.columns),list(model_logit.coef_[0]))\n",
    "plt.title(\"Peso de los coeficientes\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "fa5e5237-800d-4dcc-b71a-43650b37162b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data.plot.scatter(x='longitud_piernas_cms',y='peso_gr',c='animal_num',colormap='viridis',figsize=(10,5))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b2b0140a-8ef5-4283-840b-124ba6e798ab",
   "metadata": {},
   "source": [
    "# KNN model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "fb77557e-8d98-409b-81c6-073a4780eda7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "KNeighborsClassifier(n_neighbors=10)"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "\n",
    "model_knn=KNeighborsClassifier(n_neighbors=10)\n",
    "model_knn.fit(X_train_tranformada,y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "8353baef-7a33-41d6-ae7c-a2552ec3c031",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\jpvin\\anaconda3\\lib\\site-packages\\sklearn\\neighbors\\_classification.py:228: FutureWarning: Unlike other reduction functions (e.g. `skew`, `kurtosis`), the default behavior of `mode` typically preserves the axis it acts along. In SciPy 1.11.0, this behavior will change: the default value of `keepdims` will become False, the `axis` over which the statistic is taken will be eliminated, and the value None will no longer be accepted. Set `keepdims` to True or False to avoid this warning.\n",
      "  mode, _ = stats.mode(_y[neigh_ind, k], axis=1)\n"
     ]
    }
   ],
   "source": [
    "y_hat=model_knn.predict(X_test_transormada)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e41fe09d-fc6e-4310-882e-16a85c236d37",
   "metadata": {
    "tags": []
   },
   "source": [
    "## Model evaluation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "a0346c28-1440-40f4-9950-966bc99ef633",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[129,   1],\n",
       "       [  1, 253]], dtype=int64)"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.metrics import confusion_matrix,accuracy_score,f1_score,roc_auc_score\n",
    "\n",
    "confusion_matrix(y_test,y_hat)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "21972aa5-a299-4a36-8f0d-773accd7c553",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9947916666666666"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model_knn_acc=accuracy_score(y_test,y_hat)\n",
    "model_knn_acc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "efe01920-dad7-4a00-8c27-ccfd6cfce133",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9960629921259843"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model_knn_f1=f1_score(y_test,y_hat)\n",
    "model_knn_f1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "77d87feb-ac0b-4f21-b71d-5dacc968a331",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9941853422168383"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model_knn_auc=roc_auc_score(y_test,y_hat)\n",
    "model_knn_auc"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ecceacd0-d5f4-46dd-a43c-225c00d77dcf",
   "metadata": {},
   "source": [
    "# Classification tree model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "45a76e53-01ed-49c2-bb9a-feb08c54b1ae",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DecisionTreeClassifier()"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.tree import DecisionTreeClassifier\n",
    "from sklearn import tree\n",
    "\n",
    "model_tree=DecisionTreeClassifier()\n",
    "model_tree.fit(X_train_tranformada,y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "a561ea96-ae6e-45d8-a55a-545f61e90bf6",
   "metadata": {},
   "outputs": [],
   "source": [
    "y_hat=model_tree.predict(X_test_transormada)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fb6cdbb8-1e5b-440a-82e5-4fb22a844cf5",
   "metadata": {
    "tags": []
   },
   "source": [
    "## Model evaluation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "57c390ad-a0e3-4257-9084-11dad4c37eb6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[126,   4],\n",
       "       [  3, 251]], dtype=int64)"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.metrics import confusion_matrix,accuracy_score,f1_score,roc_auc_score\n",
    "\n",
    "confusion_matrix(y_test,y_hat)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "126b1c7e-9b6f-4fef-9805-dec952c1afc9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9817708333333334"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model_tree_acc=accuracy_score(y_test,y_hat)\n",
    "model_tree_acc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "42188f76-7a17-4f8a-90e4-3d7a8eda5279",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9862475442043221"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model_tree_f1=f1_score(y_test,y_hat)\n",
    "model_tree_f1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "5b8a0990-0e27-422c-b995-fff8ee1efb0e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9787098728043611"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model_tree_auc=roc_auc_score(y_test,y_hat)\n",
    "model_tree_auc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "7109b4d1-dcd5-4e59-8029-029a602db46c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.barh(list(X.columns),list(model_tree.feature_importances_))\n",
    "plt.title(\"Peso de los coeficientes\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "a08c0850-42c7-4215-82d9-df3fe84e649f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 3600x2160 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(50,30))\n",
    "tree.plot_tree(model_tree,feature_names=X.columns,fontsize=25)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c1699416-58f2-456e-856d-efa80506a8fd",
   "metadata": {},
   "source": [
    "# Random forest classification model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "774db769-c7e8-4500-8487-85de56c1ac5c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "RandomForestClassifier()"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.ensemble import RandomForestClassifier\n",
    "\n",
    "model_forest=RandomForestClassifier()\n",
    "model_forest.fit(X_train_tranformada,y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "927ab9ab-c51a-40d0-8732-7bfc607faf3b",
   "metadata": {},
   "outputs": [],
   "source": [
    "y_hat=model_forest.predict(X_test_transormada)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7225ef39-b8dd-42be-b32f-9766f21ee06c",
   "metadata": {},
   "source": [
    "## Model evaluation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "b7f126af-ccd8-4cc2-8fed-9e29aaebeca9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[129,   1],\n",
       "       [  1, 253]], dtype=int64)"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.metrics import confusion_matrix,accuracy_score,f1_score,roc_auc_score\n",
    "\n",
    "confusion_matrix(y_test,y_hat)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "7be35537-d12f-471b-b1b4-df1a6061b703",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9947916666666666"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model_forest_acc=accuracy_score(y_test,y_hat)\n",
    "model_forest_acc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "f7b8845c-b360-402a-b963-7a6f2e00fbb3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9960629921259843"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model_forest_f1=f1_score(y_test,y_hat)\n",
    "model_forest_f1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "a4232388-759e-4da8-85f4-0d134f401113",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9941853422168383"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model_forest_auc=roc_auc_score(y_test,y_hat)\n",
    "model_forest_auc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "96a00b8a-a5fc-49fa-9d18-fd7f485f685b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAdAAAAEICAYAAADvMKVCAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/YYfK9AAAACXBIWXMAAAsTAAALEwEAmpwYAAAbYUlEQVR4nO3de7wdZX3v8c+XgNwNIrRGCkaRwuEugopFTHtotVABlR68vBBqjxy01uopIsfTImqttNpCqbWCVayigEWkCAJaUREQIcGQgOINgtyUohKIIEr49Y/17Lpc7Mvaw74kO5/367VemTXzzDy/Zw3sb55Zk9mpKiRJ0uSsN9sFSJK0NjJAJUnqwACVJKkDA1SSpA4MUEmSOjBAJUnqwACV1lFJKsnTO+x3VJIrpqOmqZbkr5Lck+QHSbZLsirJvAn2eV6Sb81UjVp7GaDSDEmyIsmD7Yf4D5OckWSz2a5rrkqyLfDnwM5V9aSq+n5VbVZVq8fbr6q+UlU7TlENK5IcMBXH0prHAJVm1ouqajNgL2Af4C9muZ657CnAj6rq7tkuRHOTASrNgqq6A7gY2BUgyXOSXJXk3iTXJ1k00rZdMr05yf1JbknyyrZ+vSR/keTWJHcn+WiS+WP1meTNSe5KcmeSVw9s2zDJe5N8v82OP5Bk42HGkuS5Sa5NsrL9+dyJah/lGPOSvDXJ91rbJW0GOdHx5yf5UBvXHe2S7bw26/s88OQ24/9IkoXtsvX6bd8t21WAO5P8JMn5bf2iJLf39fHkJJ9K8p9tDG/o23Zikk+2z/7+JDcm2btt+xiwHfCZVsNxbf2kz7XWUFXly5evGXgBK4AD2vK2wI3AO4FtgB8BB9L7S+3vtvdbA5sC9wE7tv0WALu05VcD3wWeBmwGnAd8bIy+Xwj8kF5gbwp8Aijg6W37KcAFwJbA5sBngHePcayjgCva8pbAT4AjgPWBl7f3Txyv9lGO+WZgObAjEGCPdowxj9/2Ox84rfX1a8A1wP9p2xYBt/f1sbCNef32/iLgHOAJwAbA8wf3a+djCXAC8Lj2Wd8MvKBtPxH4WTt384B3A1ePds7b+07n2tea+Zr1Anz5Wlde7YfpKuBe4Fbg/cDGwFsGgw+4FDiy/VC9F3gpsPFAmy8Ar+t7vyPwi5GAGGj7YeCkvve/2cLk6S2wfgps37d9X+CWMcZxFL8M0COAawa2f7W1GbP2UY75LeCQUdaPd/xfBx7qPza9gP1iWx4zQFs4PQI8YZQ++wP02cD3B7b/P+CMtnwi8B9923YGHhw45/0B2ulc+1ozX17ClWbWoVW1RVU9papeV1UP0vuu7g/bJb17k9wL7AcsqKqfAocDxwB3JbkoyU7tWE+mF8QjbqUXDr8+Sr9PBm4baDtia2ATYElf/5e09RMZrGHk2NtMUPugbYHvTeb49D63DdqxR+o+jd5MdCLbAj+uqp9M0O4p9C4D95+bt/Krn/EP+pYfADYauUw8xvG6nGutgQxQafbdRm9WskXfa9OqOgmgqi6tqt+lN2u6Cfhg2+9Oej+QR2wHPEzvUu2gu+iFRn/bEfcAD9K7XDjS//zq3ew0kcEaRo59xwS1D7oN2H6Sx7+N3gx0q766H19VuwxR923Alkm2GKLdLQPnZvOqOnCIPqA34x08XpdzrTWQASrNvjOBFyV5QbsBZqN2I8tvJPn1JAcn2ZReWKwCRv4ZxlnAm5I8Nb1/DvPXwDlV9fAofXwSOCrJzkk2Ad42sqGqHqH3g/rkJL8GkGSbJC8YovbPAr+Z5BVJ1k9yOL3LmBdOUPugfwHemWSH9Oye5InjHb+q7gI+B/xdksend1PV9kmeP1HRbd+LgfcneUKSDZLsP0rTa4D7krwlycbt/OyaZJ8hPhvo/WXmaX3vu55rrYEMUGmWVdVtwCH0Lg3+J71Zypvp/f+5Hr1/y3gn8GPg+cDr2q4fBj4GXA7cQu9mlj8do4+L6d0odBm9G48uG2jylrb+6iT3Af9B7zvViWr/EfAHrcYfAccBf1BV90xQ+6C/pxfyn6N3I82H6H0PON7xAV5F7+aeb9C7uehcerO3YRxB7zvjm4C7gTeOMr7VwIuAPel9xvfQC/sx73Ye8G7gL9rl2mMfw7nWGihV/kJtSZImyxmoJEkdGKCSJHVggEqS1IEBKklSB2P9Y1/NQVtttVUtXLhwtsuQpLXKkiVL7qmqRz1YxABdhyxcuJDFixfPdhmStFZJMvg0LMBLuJIkdWKASpLUgQEqSVIHBqgkSR0YoJIkdWCASpLUgQEqSVIHBqgkSR34IIV1yPI7VrLw+Itmu4xJW3HSQbNdgiQ9ijNQSZI6MEAlSerAAJUkqQMDVJKkDgxQSZI6MEAlSerAAJUkqQMDVJKkDgxQSZI6MEAlSerAAJUkqQMDVJKkDgxQSZI6MEAlSerAAJUkqQMDVJKkDgxQSZI6mNMBmmR1kqVJbkjyb0k26XicRUme2/f+mCSvmrpKx+zzwunsQ5LU3ZwOUODBqtqzqnYFfg4c0/E4i4D/DtCq+kBVfXQK6pMkraXmeoD2+wrw9MGZXZL3JTmqLa9I8vYk1yVZnmSnJAvpBe+b2mz2eUlOTHJs2+c1Sa5Ncn2ST43McpNsn+Tqtu0dSVa19eP1/8IkNyW5AnhJX5tnJbkqydfbnzu29bskuabVtSzJDtP6CUqS/ts6EaBJ1gd+H1g+RPN7qmov4J+BY6tqBfAB4OQ2m/3KQPvzqmqfqtoD+Cbwx239PwD/UFX7AHcOUeNGwAeBFwHPA57Ut/kmYP+qegZwAvDXbf0xrY89gb2B20c57tFJFidZvPqBlROPXpI0lLkeoBsnWQosBr4PfGiIfc5rfy4BFg7RftckX0myHHglsEtbvy/wb235E0McZyfglqr6TlUVcGbftvnAvyW5ATi5r4+vAm9N8hbgKVX14OBBq+r0qtq7qvaet8n8IcqQJA1jrgfoyHege1bVn1bVz4GH+dVxbzSwz0Ptz9XA+kP08RHg9VW1G/D2UY43aLz+a4x93gl8sX2X+6KRfarqE8DBwIPApUl+Z4h6JUlTYK4H6GhuBXZOsmGS+cD/HGKf+4HNx9i2OXBXkg3ozUBHXA28tC2/bIj+bwKemmT79v7lffvMB+5oy0eNrEzyNODmqjoVuADYfYixSJKmwDoXoFV1G/BJYBnwceDrQ+z2GeDFIzcRDWz7S+BrwOfpheCINwL/N8k1wAJg5Xj9V9XPgKOBi9pNRLf2HetvgXcnuRKY17f+cOCGdpl6J8A7gyVphqT3dZumWrsb98GqqiQvA15eVYfMZk0bLtihFhx5ymyW0MmKkw6a7RIkrcOSLKmqvQfXD/Mdn7p5JvC+JAHuBV49u+VIkqaSATpN2j932WO265AkTY917jtQSZKmggEqSVIHBqgkSR0YoJIkdWCASpLUgQEqSVIHBqgkSR0YoJIkdWCASpLUgQEqSVIHBqgkSR0YoJIkdWCASpLUgb+NZR2y2zbzWezv1pSkKeEMVJKkDgxQSZI6MEAlSerAAJUkqQMDVJKkDgxQSZI6MEAlSerAAJUkqQMDVJKkDnwS0Tpk+R0rWXj8RbNdhrTWW+ETvYQzUEmSOjFAJUnqwACVJKkDA1SSpA4MUEmSOjBAJUnqwACVJKkDA1SSpA4MUEmSOjBAJUnqwACVJKkDA1SSpA4MUEmSOjBAJUnqwACVJKkDA1SSpA4MUEmSOjBAJUnqYMIATbJqqjtNcnCS49vyoUl27nCMLyXZu8N+70hywGT3kySp3/qz0WlVXQBc0N4eClwIfGOG+j5hMu2TrF9VD09XPZKktdPQl3DT854kNyRZnuTwtn5Rmw2em+SmJB9PkrbtwLbuiiSnJrmwrT8qyfuSPBc4GHhPkqVJtu+fWSbZKsmKtrxxkrOTLEtyDrDxBPWuSvJ3Sa5L8oUkW7f1H0lyWFt+ZpIvJ1mS5NIkC9r6LyX56yRfBv6svf+bJNck+XaS57V2C5N8pfVxXRsPSRYkubyN6YaR9mPU+cK27/VJvtDWnZjkX5N8LsmKJC9J8rftc78kyQat3UlJvtE+k/eOcfyjkyxOsnj1AyuHONOSpGFMZgb6EmBPYA9gK+DaJJe3bc8AdgHuBK4EfivJYuA0YP+quiXJWYMHrKqrklwAXFhV5wK07B3Na4EHqmr3JLsD101Q76bAdVX150lOAN4GvH5kYwuhfwQOqar/bH8heBfw6tZki6p6fmv7ImD9qnpWkgPbsQ4A7gZ+t6p+lmQH4Cxgb+AVwKVV9a4k84BNRiuwhfoH+z6jLfs2bw/8NrAz8FXgpVV1XJJPAwe1z/7FwE5VVUm2GK2PqjodOB1gwwU71ASfmSRpSJMJ0P2As6pqNfDDNjvbB7gPuKaqbgdIshRYCKwCbq6qW9r+ZwFHP4Za9wdOBaiqZUmWTdD+EeCctnwmcN7A9h2BXYHPt9CeB9zVt/2cgfYj+y+hNz6ADYD3JdkTWA38Zlt/LfDhFtLnV9XSMWp8DnD5yGdUVT/u23ZxVf0iyfJW2yVt/fLW/4XAz4B/SXJRey9JmiGTuQt3zKkh8FDf8mp6wTxe+/E8zC/r2mhg22OZQQ3uG+DGqtqzvXarqt/r2/7TgfYjYxwZH8CbgB/Sm5XvDTwOoKoupxf4dwAfS/KqMWrKKHX9Sn9V9Qjwi6oaafcIvdnww8CzgE/R+x75ktEOIkmaHpMJ0MuBw5PMa5ce9weuGaf9TcDTkixs7w8fo939wOZ971cAz2zLhw30/0qAJLsCu09Q73p9+78CuGJg+7eArZPs2465QZJdJjjmoPnAXS3kjqA3UyTJU4C7q+qDwIeAvcbY/6vA85M8te235RjtHiXJZsD8qvos8EZ6l9clSTNkMpdwPw3sC1xPb9Z0XFX9IMlOozWuqgeTvA64JMk9jB22ZwMfTPIGeoH3XuCTSY4ALutr98/AGe3S7dJxjjfip8AuSZYAKxkI8Kr6ebuZ6NQk8+l9FqcAN05w3H7vBz6V5A+BL/LLWesi4M1JfkHvUvaoM9D23evRwHlJ1qN9pzpk35sD/55kI3oz2TdNom5J0mOUX14ZnIaDJ5tV1ap2V+4/Ad+pqpOnrcNf7XtVVW02E32tLTZcsEMtOPKU2S5DWuutOOmg2S5BMyjJkqp61HMHpvtJRK9pNxXdSO9y52nT3J8kSTNiWh+k0Gab0zrjTPI1YMOB1UesabPPcepcPhv1SJIem1l5EtFUqqpnz3YNw1hb6pQkDceHyUuS1IEBKklSBwaoJEkdGKCSJHVggEqS1IEBKklSBwaoJEkdGKCSJHVggEqS1IEBKklSBwaoJEkdrPXPwtXwdttmPov9NUySNCWcgUqS1IEBKklSBwaoJEkdGKCSJHVggEqS1IEBKklSBwaoJEkdGKCSJHVggEqS1IFPIlqHLL9jJQuPv2i2y5CkGbVimp7A5gxUkqQODFBJkjowQCVJ6sAAlSSpAwNUkqQODFBJkjowQCVJ6sAAlSSpAwNUkqQODFBJkjowQCVJ6sAAlSSpAwNUkqQODFBJkjowQCVJ6sAAlSSpAwNUkqQODNA5Ij2eT0maIf7A7SDJwiQ3JfnXJMuSnJtkkyTPTPLlJEuSXJpkQWv/hiTfaG3Pbuu2THJ+W3d1kt3H6W/rJJ9Pcl2S05LcmmSrVsc3k7wfuA7YdmY+AUmSAdrdjsDpVbU7cB/wJ8A/AodV1TOBDwPvam2PB57R2h7T1r0d+Hpb91bgo+P09TbgsqraC/g0sN1AHR+tqmdU1a1TMzRJ0kTWn+0C1mK3VdWVbflMeiG4K/D5JADzgLva9mXAx5OcD5zf1u0HvBSgqi5L8sQk86tq5Sh97Qe8uLW9JMlP+rbdWlVXj1VkkqOBowHmPX7ryY5RkjQGA7S7Gnh/P3BjVe07StuDgP2Bg4G/TLILkCGOOWK0tiN+Om6RVacDpwNsuGCHsY4vSZokL+F2t12SkbB8OXA1sPXIuiQbJNml3dizbVV9ETgO2ALYDLgceGVruwi4p6ruG6OvK4D/1dr+HvCE6RiQJGl4zkC7+yZwZJLTgO/Q+/7zUuDUJPPpfbanAN8GzmzrApxcVfcmORE4I8ky4AHgyHH6ejtwVpLDgS/TuzR8P70gliTNAgO0u0eq6piBdUvpXaodtN/giqr6MXDIkH2tBF5QVQ+3Ge5vV9VDwAp637tKkmaYAbp22A74ZLsc/HPgNbNcjySt8wzQDqpqBdMw80vyR8CfDay+sqr+BHjGVPcnSerOAF2DVNUZwBmzXYckaWLehStJUgcGqCRJHRigkiR1YIBKktSBASpJUgcGqCRJHRigkiR1YIBKktSBASpJUgcGqCRJHRigkiR1YIBKktSBASpJUgf+NpZ1yG7bzGfxSQfNdhmSNCc4A5UkqQMDVJKkDgxQSZI6MEAlSerAAJUkqQMDVJKkDgxQSZI6MEAlSerAAJUkqQOfRLQOWX7HShYef9G097PCpx1JWgc4A5UkqQMDVJKkDgxQSZI6MEAlSerAAJUkqQMDVJKkDgxQSZI6MEAlSerAAJUkqQMDVJKkDgxQSZI6MEAlSerAAJUkqQMDVJKkDgxQSZI6MEAlSerAAJUkqQMDVJKkDiYM0CSrprrTJAcnOb4tH5pk5w7H+FKSvcfZPmrdSd6R5IDJ9tf2XZTkuV32lSTNLevPRqdVdQFwQXt7KHAh8I0Z6vuEx7D7ImAVcNXUVCNJWlsNfQk3Pe9JckOS5UkOb+sXtdnguUluSvLxJGnbDmzrrkhyapIL2/qjkryvzeYOBt6TZGmS7ftnlkm2SrKiLW+c5Owky5KcA2w8RM1/l+S6JF9IsnVb95Ekh01Q35ZJzm99XZ1k9yQLgWOAN7Van5dk6ySfSnJte/1W2//5rc3SJF9Psvk4NR7XPs/rk5zU1n0pyclJLk/yzST7JDkvyXeS/FVrs2mSi9p+N4ycj1GOf3SSxUkWr35g5UQfmSRpSJOZgb4E2BPYA9gKuDbJ5W3bM4BdgDuBK4HfSrIYOA3Yv6puSXLW4AGr6qokFwAXVtW5AC17R/Na4IGq2j3J7sB1E9S7KXBdVf15khOAtwGvH9mYZKNx6ns78PWqOjTJ7wAfrao9k3wAWFVV723H+ARwclVdkWQ74FLgfwDHAn9SVVcm2Qz42WgFJvl9ejPwZ1fVA0m27Nv886raP8mfAf8OPBP4MfC9JCfTmw3fWVUHtWPNH62PqjodOB1gwwU71ASfmSRpSJO5iWg/4KyqWl1VPwS+DOzTtl1TVbdX1SPAUmAhsBNwc1Xd0to8KkAnaX/gTICqWgYsm6D9I8A5bfnMVn+/8erbD/hY6+sy4IljBNQBwPuSLKV3SfrxbbZ5JfD3Sd4AbFFVD49R4wHAGVX1QOvrx33bRi5xLwdurKq7quoh4GZg27b+gCR/k+R5VeX0UpJm0GQCdMypIfBQ3/JqejPb8dqP52F+WddGA9seywxqcN/x6htt22h9rwfsW1V7ttc2VXV/VZ0E/G96l5mvTrLTOP2MNaaRz/QRfvXzfQRYv6q+TW9Wuhx4d5tlS5JmyGQC9HLg8CTz2veJ+wPXjNP+JuBp7btDgFG/owPuB/q/I1xBLxgADhvo/5UASXYFdp+g3vX69n8FcMUk6uvvaxFwT1XdN0qtn+NXLwvv2f7cvqqWV9XfAIvpzXZH8zng1Uk2afttOUa7R0nyZHqXtM8E3gvsNey+kqTHbjIB+ml6l02vBy4DjquqH4zVuKoeBF4HXJLkCuCHwGiXGc8G3txuttmeXhi8NslV9L5rHfHPwGZJlgHHMX54A/wU2CXJEuB3gHdMor4Tgb1bXycBR7b1nwFePHITEfCGkXZJvkHvJiOAN7Ybe64HHgQuHuMzuoTepdrF7TLwsROMqd9uwDVtv/8P/NUk9pUkPUapmr77SpJsVlWr2l25/wR8p6pOnrYOJ2lNr2+qbbhgh1pw5CnT3s+Kkw6a9j4kaaYkWVJVj3ruwHQ/ieg1bYZ0IzCf3l2va5I1vT5J0hpqWh+k0GZz0zqjS/I1YMOB1UdU1fKJ9p2J+gCS7Ea7q7fPQ1X17OnuW5I0PWblSURTaW0IoRbme852HZKkqePD5CVJ6sAAlSSpAwNUkqQODFBJkjowQCVJ6sAAlSSpAwNUkqQODFBJkjowQCVJ6sAAlSSpAwNUkqQO1vpn4Wp4u20zn8X+qjFJmhLOQCVJ6sAAlSSpAwNUkqQODFBJkjowQCVJ6sAAlSSpAwNUkqQODFBJkjowQCVJ6iBVNds1aIYkuR/41mzXMYO2Au6Z7SJmkOOd+9a1Ma8p431KVW09uNJH+a1bvlVVe892ETMlyWLHO3eta+OFdW/Ma/p4vYQrSVIHBqgkSR0YoOuW02e7gBnmeOe2dW28sO6NeY0erzcRSZLUgTNQSZI6MEAlSerAAJ1jkrwwybeSfDfJ8aNsT5JT2/ZlSfaajTqn0hBj3inJV5M8lOTY2ahxKg0x3le2c7ssyVVJ9piNOqfKEOM9pI11aZLFSfabjTqnykTj7Wu3T5LVSQ6byfqmwxDneFGSle0cL01ywmzU+ShV5WuOvIB5wPeApwGPA64Hdh5ocyBwMRDgOcDXZrvuGRjzrwH7AO8Cjp3tmmdgvM8FntCWf39tPsdDjnczfnk/x+7ATbNd93SOt6/dZcBngcNmu+4ZOMeLgAtnu9bBlzPQueVZwHer6uaq+jlwNnDIQJtDgI9Wz9XAFkkWzHShU2jCMVfV3VV1LfCL2Shwig0z3quq6ift7dXAb8xwjVNpmPGuqvZTFtgUWJvvjBzm/2GAPwU+Bdw9k8VNk2HHvMYxQOeWbYDb+t7f3tZNts3aZK6NZyKTHe8f07visLYaarxJXpzkJuAi4NUzVNt0mHC8SbYBXgx8YAbrmk7D/je9b5Lrk1ycZJeZKW18BujcklHWDf5tfJg2a5O5Np6JDD3eJL9NL0DfMq0VTa+hxltVn66qnYBDgXdOd1HTaJjxngK8papWT385M2KYMV9H73m0ewD/CJw/3UUNwwCdW24Htu17/xvAnR3arE3m2ngmMtR4k+wO/AtwSFX9aIZqmw6TOr9VdTmwfZKtpruwaTLMePcGzk6yAjgMeH+SQ2ekuukx4Zir6r6qWtWWPwtssCacYwN0brkW2CHJU5M8DngZcMFAmwuAV7W7cZ8DrKyqu2a60Ck0zJjnkgnHm2Q74DzgiKr69izUOJWGGe/Tk6Qt70XvRpS19S8NE463qp5aVQuraiFwLvC6qjp/xiudOsOc4yf1neNn0cuuWT/H/jaWOaSqHk7yeuBSene2fbiqbkxyTNv+AXp37R0IfBd4APij2ap3Kgwz5iRPAhYDjwceSfJGenf53TdbdXc15Dk+AXgivZkJwMO1Bv9Gi/EMOd6X0vtL4S+AB4HD+24qWqsMOd45ZcgxHwa8NsnD9M7xy9aEc+yj/CRJ6sBLuJIkdWCASpLUgQEqSVIHBqgkSR0YoJIkdWCASpLUgQEqSVIH/wXh8tXdGdjP/QAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.barh(list(X.columns),list(model_forest.feature_importances_))\n",
    "plt.title(\"Peso de los coeficientes\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "41851c43-4f7c-491d-9586-940a817d2fa1",
   "metadata": {},
   "source": [
    "# Model selection"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "35cf81ff-26b6-45ee-9445-cae833dd00c4",
   "metadata": {},
   "outputs": [],
   "source": [
    "metrics={\"Accuracy\":[model_logit_acc,model_knn_acc,model_tree_acc,model_forest_acc],\n",
    "         \"F1-Score\":[model_logit_f1,model_knn_f1,model_tree_f1,model_forest_f1],\n",
    "         \"AUC\":[model_logit_auc,model_knn_auc,model_tree_auc,model_forest_auc]\n",
    "}\n",
    "\n",
    "summary=pd.DataFrame(metrics,index=[\"Logistic\",\"KNN\",\"Tree\",\"RFores\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "f3d55389-5850-4bf9-af34-164b98e83065",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Accuracy</th>\n",
       "      <th>F1-Score</th>\n",
       "      <th>AUC</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Logistic</th>\n",
       "      <td>0.994792</td>\n",
       "      <td>0.996047</td>\n",
       "      <td>0.996063</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>KNN</th>\n",
       "      <td>0.994792</td>\n",
       "      <td>0.996063</td>\n",
       "      <td>0.994185</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tree</th>\n",
       "      <td>0.981771</td>\n",
       "      <td>0.986248</td>\n",
       "      <td>0.978710</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RFores</th>\n",
       "      <td>0.994792</td>\n",
       "      <td>0.996063</td>\n",
       "      <td>0.994185</td>\n",
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      "text/plain": [
       "          Accuracy  F1-Score       AUC\n",
       "Logistic  0.994792  0.996047  0.996063\n",
       "KNN       0.994792  0.996063  0.994185\n",
       "Tree      0.981771  0.986248  0.978710\n",
       "RFores    0.994792  0.996063  0.994185"
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