Prediction of blood–brain barrier penetrating peptides based on data augmentation with Augur

Table 3 Performance comparison of Augur with the existing methods

Evaluation strategy	Classifier	Sn	Sp	ACC	MCC	AUROC
Training set validation	B3Pred	0.869	0.850	0.852	0.510	0.930
	MIMML	0.641	0.989	0.957	0.716	0.922
	SCMB3PP	0.661	0.980	0.951	0.684	0.896
	Augur	0.853	0.839	0.846	0.695	0.932
Independent set validation	B3Pred	0.814	0.830	0.829	0.440	0.900
	MIMML	0.833	0.894	0.889	0.550	0.930
	SCMB3PP	0.648	0.974	0.944	0.650	0.862
	Augur	0.833	0.861	0.858	0.497	0.931

ISSN: 1741-7007