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Table 3 Performance of traditional 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

82.21

0.741

0.815

0.465

4.044

RF

80.32

0.740

0.815

0.465

5.097

SVM

80.71

0.757

0.817

0.480

23.873

ERT

81.06

0.762

0.821

0.491

1.528

NB

70.34

0.744

0.695

0.460

0.049

AdaBoost

75.36

0.708

0.762

0.380

9.083

DT

68.89

0.675

0.692

0.285

2.062

LR

77.87

0.741

0.786

0.431

0.145

XGB

79.99

0.756

0.808

0.467

6.740