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Table 3 Performance comparison of first-layer classifiers on test dataset Stest

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

Classifier AMPs non-AMPs Acc(%)
  TPR FPR AUC TPR FPR AUC  
188D-RF-W 0.831 0.156 0.900 0.844 0.169 0.900 84.157
188D-RF-R 0.892 0.205 0.897 0.795 0.108 0.897 81.145
188D-Bagging-W 0.888 0.205 0.899 0.795 0.112 0.899 81.084
188D-Bagging-R 0.921 0.220 0.897 0.780 0.079 0.897 80.361
40D-RF-R 0.874 0.194 0.890 0.806 0.126 0.890 81.747
  1. a. Statements that serve as captions for the entire table do not need footnote letters
  2. b. W = weighted random sampling, R = random-under-sampling, 188D = SVM-prot 188-D, 40D = Co-Pse-AAC 40-D