Fig. 5
From: Predicting adverse drug reactions through interpretable deep learning framework
Number of features used and selected by different methods Panel (a) shows the average number of features defined by different chemical fingerprint methods in left y-axis and area under the curve (AUC) in right y-axis. Panel (b) shows the average number of significant features that are predictive of ADRs in left y-axis and AUC in the right y-axis. The proposed neural fingerprint (NFP) have better predictive power than other fingerprints, although it uses significantly less number of features than other techniques