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Table 1 Five-fold cross validation results of the DT, RF and SVM models trained on single type of features

From: iDPGK: characterization and identification of lysine phosphoglycerylation sites based on sequence-based features

Training feature

Classifier

Sensitivity (%)

Specificity (%)

Accuracy (%)

MCC

AAC

DT

59.6

55.6

56.9

0.14

RF

59.6

59.0

59.2

0.18

SVM

56.2

59.6

58.4

0.15

AAPC

DT

59.6

47.8

51.7

0.07

RF

48.3

62.9

58.1

0.11

SVM

60.7

47.8

52.1

0.08

B62

DT

44.9

70.8

62.2

0.16

RF

55.1

55.1

55.1

0.10

SVM

51.7

43.3

46.1

− 0.05

PSSM

DT

34.8

71.9

59.6

0.07

RF

58.4

52.2

54.3

0.10

SVM

39.3

59.6

52.8

− 0.01

PCAAC

DT

50.6

71.3

64.4

0.22

RF

50.6

50.6

50.6

0.01

SVM

58.4

68.0

64.8

0.25