Fig. 2

AUROC value of models generated from different feature sets. SVM models are trained with single features and compared with the model trained with the whole feature sets. a For random test set, SVM model trained only with structure feature shows as high AUROC as the model trained with the whole feature sets. b For structurally similar test set (Tanimoto score ≥ 0.77), all features contribute to improve the overall performance