BMC Bioinformatics

Table 2 Performance of various compared algorithms with different classifiers

From: Predicting combinations of drugs by exploiting graph embedding of heterogeneous networks

Classifier	Accuracy	Precision	Recall	F-measure	MCC	AUC
SVM	0.751	0.566	0.635	0.751	0.436	0.753
KNN	0.736	0.471	0.489	0.727	0.371	0.673
LDA	0.743	0.486	0.540	0.738	0.397	0.691
ADB	0.746	0.490	0.540	0.741	0.404	0.693
GBT	0.741	0.480	0.516	0.734	0.387	0.683
RF	0.732	0.465	0.486	0.723	0.361	0.668
LR	0.741	0.479	0.510	0.733	0.385	0.681

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ISSN: 1471-2105

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