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Table 7 Comparison of StackDPP with state-of-the-art methods using independent testing on the UNIPROT356 dataset

From: StackDPP: a stacking ensemble based DNA-binding protein prediction model

Model

ACC

SN

SP

MCC

PREC

F1

AUROC

AUPR

DPP-PsseAAC

0.83

0.81

0.85

0.67

0.85

0.83

0.83

0.87

Local-DPP

0.88

0.87

0.89

0.76

0.89

0.88

0.88

0.95

Adelina (Group)

0.84

0.80

0.88

0.68

0.87

0.83

0.84

0.92

Adelina (RFE)

0.85

0.85

0.86

0.71

0.86

0.85

0.85

0.92

iDNAProt-ES

0.90

0.90

0.89

0.80

0.89

0.90

0.90

0.96

StackDPP

0.93

0.90

0.96

0.86

0.95

0.92

0.93

0.97

  1. The best value for each metric is shown in bold-face