From: CNN-Siam: multimodal siamese CNN-based deep learning approach for drug‒drug interaction prediction
Models | ACC | AUPR | AUC | F1 | Precision | Recall |
---|---|---|---|---|---|---|
CNN-Siam | 0.9237 | 0.9627 | 0.9986 | 0.9237 | 0.9237 | 0.9237 |
CNN-DDI* | 0.8681 | 0.9254 | 0.9982 | 0.8681 | 0.8681 | 0.8681 |
CNN-DDI | 0.8871 | 0.9251 | 0.9980 | 0.7496 | 0.8556 | 0.7220 |
DDIMDL | 0.8852 | 0.9208 | 0.9976 | 0.7585 | 0.8471 | 0.7182 |
DeepDDI | 0.8371 | 0.8899 | 0.9961 | 0.6848 | 0.7275 | 0.6611 |
DNN | 0.8797 | 0.9134 | 0.9963 | 0.7223 | 0.8047 | 0.7027 |
RF | 0.7775 | 0.8349 | 0.9956 | 0.5936 | 0.7893 | 0.5161 |
KNN | 0.7214 | 0.7716 | 0.9813 | 0.4831 | 0.7174 | 0.4081 |
LR | 0.7920 | 0.8400 | 0.9960 | 0.5948 | 0.7437 | 0.5236 |