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Table 5 Hemolytic activity classification results for the model trained on RNN-Hem [12] dataset’s train set and validated on its test set

From: AMPDeep: hemolytic activity prediction of antimicrobial peptides using transfer learning

Model

Accuracy

Recall

Precision

ROC-AUC

MCC

SVM-Hem [12]

0.73

0.58

0.72

0.69

0.44

RF-Hem [12]

0.77

0.6

0.81

0.8

0.53

RNN-Hem [12]

0.76

0.76

0.7

0.87

0.52

AMPDeep

0.7997

0.8328

0.7988

0.8723

0.5972

  1. Bold values are for the best performing model
  2. First three rows are reported as it was published in [12]
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BMC Bioinformatics

ISSN: 1471-2105

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