Table 2 Five-fold cross validation results of the models trained with single feature.

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

Feature

Sen. (%)

Spec. (%)

Acc. (%)

BAcc. (%)

MCC

AAC

86.23 ± 0.56

87.25 ± 0.28

86.91 ± 0.23

86.74 ± 0.28

0.72 ± 0.01

DPC

85.38 ± 0.36

84.63 ± 0.50

84.88 ± 0.35

85.00 ± 0.30

0.68 ± 0.01

CKSAAP, k = 1

85.98 ± 0.54

86.31 ± 0.46

86.20 ± 0.44

86.14 ± 0.45

0.70 ± 0.01

CKSAAP, k = 2

85.50 ± 0.27

86.34 ± 0.41

86.06 ± 0.26

85.92 ± 0.21

0.70 ± 0.00

CKSAAP, k = 3

86.63 ± 0.13

86.55 ± 0.26

86.58 ± 0.20

86.59 ± 0.17

0.71 ± 0.00

PCP

71.53 ± 0.95

71.05 ± 0.47

71.21 ± 0.60

71.29 ± 0.68

0.41 ± 0.01

  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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