Regarding the RF model using ECFP4 fingerprints, the ROC-AUC and averaged accuracy were very high (0.824 and 0.765, respectively), and comparing those in 5-fold CV (0.810 and 0.741) the overfitting was considered to be avoided. The precision and specificity were also high (0.786 and 0.876, respectively). However, since the sensitivity was relatively low (0.630), the concern with this model was to miss potential MATE1 inhibitors.