RLFDDA: a meta-path based graph representation learning model for drug–disease association prediction

BMC Bioinformatics

Table 8 Experimental results of different classifiers on C-dataset

Classifier	Acc.	AUC.	Prec.	Recall	F1-score
AdaBoost	0.7063 ± 0.0169	0.7892 ± 0.0147	0.7249 ± 0.0196	0.6657 ± 0.0258	0.6938 ± 0.0185
GNB	0.6787 ± 0.0202	0.7603 ± 0.0177	0.6942 ± 0.0187	0.6382 ± 0.0301	0.6649 ± 0.0243
KNN	0.8293 ± 0.0150	0.9177 ± 0.0196	0.7759 ± 0.0136	0.9264 ± 0.0173	0.8444 ± 0.0136
LR	0.7348 ± 0.0261	0.7982 ± 0.0221	0.7316 ± 0.0260	0.7421 ± 0.0338	0.7366 ± 0.0270
RF	0.9006 ± 0.0121	0.9636 ± 0.0047	0.9035 ± 0.0136	0.8972 ± 0.0222	0.9002 ± 0.0129

ISSN: 1471-2105