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Table 3 Hemolytic activity classification results for the model trained on XGBC-Hem [4] 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

GBC [4]

0.904

–

0.865

0.905

0.809

LDA [4]

0.905

–

0.871

0.905

0.809

XGBC + Feature Selection [4]

0.923

–

0.885

0.923

0.846

AMPDeep

0.9863

0.9727

1

0.9995

0.9731

  1. Bold values are for the best performing model
  2. First three rows are reported as it was published in [4]
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