Fig. 1From: Assessing the information content of structural and protein–ligand interaction representations for the classification of kinase inhibitor binding modes via machine learning and active learningActive learning strategy. Training instances are selected randomly (first iteration) or based on an entropy criterion (subsequent iterations) after predicting pool compounds. For performance evaluation, the multi-class RF model is then used to predict the external test setBack to article page