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

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

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