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Table 6 Performance comparison of DPI-CDF predictor with existing methods on training dataset \(DP_{train}\)

From: DPI_CDF: druggable protein identifier using cascade deep forest

Predictor

Algorithm

ACC (%)

SEN (%)

SPE (%)

MCC

F-score

DrugMiner 

NN

92.1

92.8

91.34

0.841

0.924

Sun’s Method

NN

91.93

N/A

 N/A

 N/A

 N/A

GA-Bagging-SVM

SVM

93.78

92.86

94.45

0.878

0.935

Yu’s Method

CNN-RNN

90

89

N/A

0.8

0.896

SPIDER

SVM

91.9

89.5

94.2

0.839

0.914

XGB-DrugPred

XGBoost

94.86

93.75

95.74

0.89

0.963

DPI_CDF (our method)

CDF

99.13

98.52

99.69

0.982

0.999

  1. N/A: Not available in the literature