Skip to main content

Table 2 Evaluation results of the different models trained on the fivefold cross-validation

From: EMDLP: Ensemble multiscale deep learning model for RNA methylation site prediction

Modification type

Classifiers

AUROC

Acc (%)

Sn (%)

Sp (%)

MCC (%)

Pre (%)

F1 (%)

AUPRC

Time (s)

m1A

CNNRGloVe

0.9248

94.06

66.95

96.78

63.97

67.52

67.23

0.7147

127

DCNNRGloVe

0.9305

94.22

58.01

97.84

61.97

72.88

64.60

0.7155

96

BiLSTMRGloVe

0.9260

93.02

66.44

95.68

59.63

60.62

63.40

0.6980

2104

DCBRGloVe

0.9377

94.62

61.72

97.91

65.04

74.69

67.59

0.7356

1809

m6A

CNNRGloVe

0.8281

74.93

81.84

68.22

50.47

71.44

76.29

0.8009

5264

DCNNRGloVe

0.8355

75.79

82.48

69.29

52.18

72.29

77.05

0.8103

18,732

BiLSTMRGloVe

0.7885

71.42

83.87

59.33

44.48

66.70

74.31

0.7564

131,340

DCBRGloVe

0.8432

76.46

79.30

73.65

53.03

74.96

77.07

0.8199

21,638

  1. The bolded values represent the best results