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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