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Table 5 Comparison of StackDPP with state-of-the-art methods using 10-fold cross-validation on the UNIPROT1424 dataset

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

Model

ACC

SN

SP

MCC

DPP-PseAAC

0.98

0.99

0.98

0.97

LocalDPP

0.90

0.90

0.91

0.81

Adilina (Group)

0.86

0.84

0.88

0.72

Adilina (RFE)

0.87

0.86

0.89

0.75

iDNAProt-ES

0.94

0.94

0.94

0.88

StackDPP

0.92

0.92

0.92

0.84

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

ISSN: 1471-2105

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