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Table 3 Comparison of the methods for pre-miRNA ab initio prediction using sequence HAD. The results of five distinct combinations of discriminant probabilities for the three respective stages are shown in parenthesis for Mirnacle

From: Mirnacle: machine learning with SMOTE and random forest for improving selectivity in pre-miRNA ab initio prediction

Method

Sensitivity

Selectivity

GM

Time(mm:ss)

Mirnacle (0.3,0.3,0.7)

97

81.51

88.91

14:58

Mirnacle (0.4,0.4,0.7)

86

85.15

85.57

07:31

Mirnacle (0.5,0.5,0.7)

65

86.76

75.09

03:24

Mirnacle (0.6,0.6,0.7)

55

94.83

72.21

02:05

Mirnacle (0.8,0.8,0.7)

23

95.83

46.94

01:20

TVM

97

39.34

61.77

-

miRNAFold

97

19.17

43.12

00:0.84

miRPara

97

9.70

30.67

05:24

CID-miRNA

97

11.72

33.71

90:49

VMir

28

1.32

6.07

02:32