Table 5 Benchmark results of independent test on NT-S40.

From: Improved prediction of anti-angiogenic peptides based on machine learning models and comprehensive features from peptide sequences

Method

Acc

Pre

Rec

Sp

AUC

MCC

SVM

0.875

0.938

0.789

0.952

0.882

0.756

LightGBM

0.875

0.850

0.895

0.857

0.847

0.751

RF

0.875

0.889

0.842

0.905

0.865

0.750

ET

0.850

0.810

0.895

0.810

0.872

0.704

CB

0.850

0.882

0.789

0.905

0.845

0.701

LDA

0.800

0.789

0.789

0.810

0.835

0.599

AAPred-CNN

0.825

1.000

0.650

1.000

0.765

0.697

TargetAntiAngio

0.775

0.690

0.905

0.632

0.840

0.560

AntiAngioPred

0.750

–

0.650

0.850

–

0.510

  1. The best performance value is highlighted in bold for clarification.
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