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An overview of SOTA methods in Automated Machine Learning.

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Automated Machine Learning

AutoML

This project contains an overview of main existing methods of automated machine learning:

  • Automated feature engineering based on featuretools;
  • H2O AutoML;
  • AutoKeras;
  • SMAC;

Based on dataset, the task was to predict a price of an item in e-commerce. The results are provided here:

Model Name R Squared
CatBoost Baseline 0.749
CatBoost with AutoFE 0.838
H2O AutoML 0.897
H2O AutoML with AutoFE 0.892
SMAC 0.802
AutoKeras on Struct. Data 0.659

Related Projects

Here's a list of other related projects where you can find inspiration for doing AutoML research:

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