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. 2020 May 28;2020:4675395. doi: 10.1155/2020/4675395

Table 3.

The performance of different kernels via 5-fold Cross-Validation.

Models Pauwels's dataset Mizutani's dataset Liu's dataset
AUPR AUC AUPR AUC AUPR AUC
K GIP−chem,d & KGIP−link,sa 0.4420 0.8950 0.4735 0.9148 0.4718 0.9145
K COS−chem,d & KCOS−link,sa 0.4892 0.8994 0.5343 0.9070 0.5224 0.9067
K Corr−chem,d & KCorr−link,sa 0.4994 0.8981 0.5217 0.9005 0.5143 0.9026
K MI−chem,d & KMI−link,sa 0.4978 0.9079 0.5591 0.9214 0.5529 0.9238
K GIP−link,d & KGIP−link,sb 0.6254 0.9300 0.6623 0.9376 0.6574 0.9398
K COS−link,d & KCOS−link,sb 0.5861 0.9035 0.6324 0.9090 0.6252 0.9087
K Corr−link,d & KCorr−link,sb 0.5833 0.8999 0.6123 0.9014 0.6047 0.9013
K MI−link,d & KMI−link,sb 0.6557 0.9428 0.6615 0.9369 0.6587 0.9408
Mean weightedc 0.6598 0.9353 0.6724 0.9280 0.6651 0.9285
KTA-MKLc 0.6765 0.9434 0.6847 0.9409 0.6801 0.9426

aThe TMF uses the drug fingerprint and drug profile for side effects. bThe TMF uses the side effect profile for drugs and drug profile for side effects. cThe TMF uses the drug fingerprint, side effect profile for drugs, and drug profile for side effects.