Fig. 3From: Cobdock: an accurate and practical machine learning-based consensus blind docking methodSchematic representation of the feature selection workflow and training model. The EDock training set is used in the Boruta package to select the most promising features. Then, selected features have been utilized to train a model using AutoGluon. AutoGluon automates splitting data, validation and stacking to train modelBack to article page