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Table 4 The performance of different kernels (RBF kernel) on PDB1075 data set (leave one out)

From: A sequence-based multiple kernel model for identifying DNA-binding proteins

Kernel type

Model

ACC (%)

SN (%)

Spec (%)

MCC

AUC

\({\mathbf {K}}_{GE}\)

SVM

71.6

70.1

73.1

0.432

0.785

\({\mathbf {K}}_{MCD}\)

SVM

70.9

68.2

73.5

0.417

0.761

\({\mathbf {K}}_{NMBAC}\)

SVM

71.1

73.3

69.1

0.424

0.771

\({\mathbf {K}}_{PSSM-AB}\)

SVM

76.9

84.4

69.8

0.547

0.839

\({\mathbf {K}}_{PSSM-DWT}\)

SVM

76.0

79.2

72.9

0.522

0.837

\({\mathbf {K}}_{PsePSSM}\)

SVM

78.5

82.5

74.7

0.573

0.857

Mean weighted kernels

SVM

83.1

84.6

81.8

0.664

0.913

MKL-CKA

SVM

84.2

85.9

82.6

0.684

0.914

  1. The bold font indicates the largest value in the column