An advanced approach to identify antimicrobial peptides and their function types for penaeus through machine learning strategies

Table 4 Performance Comparison of Second-layer Classifiers (10 fold cross-validation)

Models	Acc	EMR	H-Loss	F1-Micro	F1-Macro	One-error	Rank-Loss	Log-Loss
BR-RF	0.839	0.785	0.021	0.920	0.941	0.122	0.019	0.076
PS-RF	0.856	0.825	0.020	0.923	0.939	0.138	0.052	0.056
CC-RF	0.844	0.794	0.021	0.922	0.942	0.165	0.051	0.057
BCC-RF	0.847	0.801	0.020	0.924	0.943	0.160	0.051	0.056
LC-RF	0.855	0.824	0.020	0.923	0.939	0.139	0.052	0.056
BRkNN	0.696	0.561	0.044	0.838	0.783	0.238	0.101	0.121

ISSN: 1471-2105