Multi-view heterogeneous molecular network representation learning for protein–protein interaction prediction

BMC Bioinformatics

Table 6 Predictive performance with various classifiers

Classifier	Acc.	Sen.	Pre.	AUC	AUPR
SVM	0.7103 ± 0.0078	0.7577 ± 0.0113	0.6921 ± 0.0074	0.7747 ± 0.0077	0.7686 ± 0.0074
LR	0.7056 ± 0.0072	0.7452 ± 0.0119	0.6905 ± 0.0067	0.7733 ± 0.0078	0.7667 ± 0.0076
NB	0.6772 ± 0.0084	0.7392 ± 0.0098	0.6578 ± 0.0090	0.7563 ± 0.0071	0.7827 ± 0.0075
AdaBoost	0.6946 ± 0.0088	0.7306 ± 0.0115	0.6816 ± 0.0090	0.7669 ± 0.0094	0.7713 ± 0.0086
XGBoost	0.8600 ± 0.0081	0.8867 ± 0.0063	0.8419 ± 0.0109	0.9326 ± 0.0051	0.9240 ± 0.0048
RF	0.8655 ± 0.0050	0.8249 ± 0.0085	0.8979 ± 0.0088	0.9301 ± 0.0050	0.9308 ± 0.0045

ISSN: 1471-2105