TIPred: a novel stacked ensemble approach for the accelerated discovery of tyrosinase inhibitory peptides

BMC Bioinformatics

Table 4 Performance comparison of TIPred and top five ML classifiers

Evaluation strategy	Method	ACC	BACC	Sn	Sp	MCC	AUC
Cross-validation	MLP-PubChem	0.873	0.872	0.850	0.895	0.749	0.923
	SVMLN-APAAC	0.873	0.874	0.916	0.831	0.755	0.891
	SVMLN-PubChem	0.878	0.877	0.887	0.866	0.762	0.915
	SVMRBF-PubChem	0.882	0.881	0.869	0.894	0.767	0.904
	MLP-PAAC	0.882	0.884	0.871	0.897	0.773	0.914
	TIPred	0.916	0.917	0.917	0.917	0.837	0.955
Independent test	MLP-PubChem	0.889	0.921	0.963	0.878	0.671	0.957
	SVMLN-APAAC	0.880	0.899	0.926	0.873	0.637	0.920
	SVMLN-PubChem	0.875	0.928	1.000	0.856	0.660	0.965
	SVMRBF-PubChem	0.880	0.931	1.000	0.862	0.669	0.946
	MLP-PAAC	0.870	0.910	0.963	0.856	0.636	0.960
	TIPred	0.923	0.956	1.000	0.912	0.757	0.977

ISSN: 1471-2105