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Table 6 Results from 10 fold CV test

From: BBB-PEP-prediction: improved computational model for identification of blood–brain barrier peptides using blending position relative composition specific features and ensemble modeling

Model

ACC

SEN

SPE

MCC

RF

0.770

0.747

1

0.543

ET

0.791

0.759

1

0.588

LGBM

0.796

0.787

1

0.593

XGB

0.802

0.786

1

0.610

Stacking (ET, XGB, LR)

0.801

0.781

0.809

0.604

Blended (LGBM, RF, LR)

0.791

0.759

0.827

0.588

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Journal of Cheminformatics

ISSN: 1758-2946

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