Ended 3 years ago
44 participants
131 submissions

Solution examples:

  • LightAutoML (v. 0.2.16)
    LightAutoML (LAMA) - project from Sberbank AI Lab AutoML group is the framework for automatic classification and regression model creation.
  • AutoSklearn (v. 0.13.0)
    auto-sklearn is an automated machine learning toolkit and a drop-in replacement for a scikit-learn estimator.
  • H2O (v. 3.34.0.3)
    AutoML is a function in H2O that automates the process of building a large number of models, with the goal of finding the "best" model without any prior knowledge or effort by the Data Scientist.
  • Linear_Regression (scikit-learn 1.0.1)
    LinearRegression fits a linear model with coefficients w = (w1, …, wp) to minimize the residual sum of squares between the observed targets in the dataset, and the targets predicted by the linear approximation.
  • MLJar (mljar-supervised 0.11.1)
    The mljar-supervised is an Automated Machine Learning Python package that works with tabular data. It is designed to save time for a data scientist. It abstracts the common way to preprocess the data, construct the machine learning models, and perform hyper-parameters tuning to find the best model trophy. It is no black-box as you can see exactly how the ML pipeline is constructed (with a detailed Markdown report for each ML model).
  • Random_Forest (scikit-learn 1.0)
    A random forest is a meta estimator that fits a number of decision tree classifiers on various sub-samples of the dataset and uses averaging to improve the predictive accuracy and control over-fitting.
  • Tpot (v. 0.11.7)
    TPOT stands for Tree-based Pipeline Optimization Tool. Consider TPOT your Data Science Assistant. TPOT is a Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
  • AutoGluon (v. 0.3.1)
    AutoGluon automates machine learning tasks enabling you to easily achieve strong predictive performance in your applications. With just a few lines of code, you can train and deploy high-accuracy machine learning and deep learning models on text, image, and tabular data.

If you want your open source solution added as a baseline on the leaderboard, write to us and send a draft baseline.

Our website uses cookies, including web analytics services. By using the website, you consent to the processing of personal data using cookies. You can find out more about the processing of personal data in the Privacy policy