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Table 5 Performance of different meta-classifiers on the testing set

From: Stack-VTP: prediction of vesicle transport proteins based on stacked ensemble classifier and evolutionary information

 

ACC (%)

SN

SP

MCC

Time

GBM

80.16

0.744

0.813

0.450

244.699

RF

78.04

0.741

0.788

0.433

250.098

SVM

79.88

0.803

0.798

0.491

253.355

ERT

78.99

0.727

0.803

0.440

252.610

NB

79.97

0.774

0.805

0.481

253.355

AdaBoost

78.21

0.798

0.779

0.464

252.061

DT

70.23

0.702

0.702

0.315

252.058

LR

81.33

0.768

0.823

0.499

258.759

XGB

78.32

0.731

0.794

0.432

249.503

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BMC Bioinformatics

ISSN: 1471-2105

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