Table 4 Five-fold cross validation results of the two-step models trained with the single feature.

From: Identification of subtypes of anticancer peptides based on sequential features and physicochemical properties

Feature

Sen. (%)

Spec. (%)

Acc. (%)

BAcc. (%)

MCC

AAC

85.45 ± 0.74

84.09 ± 0.78

84.54 ± 0.41

84.77 ± 0.32

0.67 ± 0.01

DPC

83.83 ± 0.60

80.24 ± 0.95

81.43 ± 0.61

82.03 ± 0.50

0.61 ± 0.01

CKSAAP, k = 1

84.65 ± 0.92

82.33 ± 0.49

83.10 ± 0.40

83.49 ± 0.48

0.64 ± 0.01

CKSAAP, k = 2

83.95 ± 1.02

82.39 ± 0.44

82.91 ± 0.51

83.17 ± 0.61

0.64 ± 0.01

CKSAAP, k = 3

84.75 ± 0.72

82.68 ± 0.76

83.37 ± 0.45

83.71 ± 0.38

0.65 ± 0.01

PCP

73.55 ± 1.82

69.25 ± 1.99

70.68 ± 1.13

71.40 ± 0.93

0.41 ± 0.02

  1. Sen. Sensitivity, Spec. specificity, Acc. Accuracy, BAcc. balanced accuracy, MCC Matthews correlation coefficient. The values represent the mean and standard deviation of all measurements.
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