Automated Machine Learning
Ensemble

Ensemble ML models to get better performance

Ensembles


Ensemble

Ensemble

Uses greedy approach to create weighted ensemble from already trained ML models. Available in all AutoML modes.

Stacked Ensemble

Stacked Ensemble

Uses out-of-folds predictions of the previous ML models to enrich data. Available in the Compete mode of AutoML.

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Golden Features

K-Means Features

ML Explainability

Automatic Documentation