Table 2.
The prediction performances in 5CV,10CV and denovo validation, the best results are in the bold face
The prediction performances(AUC) | ||||
---|---|---|---|---|
Method | Feature | 5CV | 10CV | Denovo |
WAE | Chemical data, biological data, phenotypic data | 0.9502 | 0.9530 | 0.9073 |
L1E | Chemical data, biological data, phenotypic data | 0.9570 | 0.9599 | ∅ |
L2E | Chemical data, biological data, phenotypic data | 0.9561 | 0.9594 | ∅ |
LP | Drug-sub | 0.9356 | 0.9359 | 0.8993 |
Drug-Label | 0.9364 | 0.9368 | 0.8994 | |
Drug-Off Label | 0.9374 | 0.9378 | 0.8997 | |
DDIGIP | Chemical data, biological data, phenotypic data | 0.9600 | 0.9636 | 0.9262 |
The ∅ represents that we did not compute the prediction performance because the prediction limit for new drugs.