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Table 5 Metric values of PlantNh-Kcr and the other four models

From: PlantNh-Kcr: a deep learning model for predicting non-histone crotonylation sites in plants

Models

Sn (%)

Sp (%)

ACC (%)

F1Ë—score (%)

MCC (%)

AUC (%)

iKcr_CNN

77.2 \(\pm\) 1.07

82.0 \(\pm\) 0.79

81.0 \(\pm\) 0.45

63.1 \(\pm\) 0.39

52.5 \(\pm\) 0.51

87.6 \(\pm\) 0.18

DeepKcrot

82.8 \(\pm\) 1.53

77.9 \(\pm\) 1.46

78.9 \(\pm\) 0.85

62.3 \(\pm\) 0.56

51.9 \(\pm\) 0.59

87.6 \(\pm\) 0.26

nhKcr

87.6 \(\pm\) 2.42

77.3 \(\pm\) 3.26

79.4 \(\pm\) 3.26

64.3 \(\pm\) 1.61

55.1 \(\pm\) 1.63

89.0 \(\pm\) 0.92

CapsNh-Kcr

76.4 \(\pm\) 3.59

84.3 \(\pm\) 1.59

83.1 \(\pm\) 0.71

65.5 \(\pm\) 0.47

55.6 \(\pm\) 0.58

89.2 \(\pm\) 0.09

PlantNh-Kcr

81.1 \(\pm\) 3.23

83.3 \(\pm\) 2.09

82.8 \(\pm\) 0.99

66.5 \(\pm\) 0.50

57.2 \(\pm\) 0.50

89.9 \(\pm\) 0.19