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Table 6 Comparison of EL_PSSM-RT with base classifiers on novel benchmark datasets

From: EL_PSSM-RT: DNA-binding residue prediction by integrating ensemble learning with PSSM Relation Transformation

Dataset

Methods

ACC (%)

MCC

SN (%)

SP (%)

ST (%)

AUC

PDNA-62

SVM

76.81

0.37

79.65

76.51

78.08

0.861

RF

79.44

0.36

71.83

80.29

76.06

0.847

EL_PSSM-RT

80.11

0.43

81.91

79.92

80.92

0.881

PDNA-224

SVM

73.66

0.28

79.68

73.25

76.47

0.839

RF

76.13

0.27

73.91

76.28

75.10

0.831

EL_PSSM-RT

76.74

0.32

81.45

76.42

78.93

0.863

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BMC Bioinformatics

ISSN: 1471-2105

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