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Table 7 10-Fold cross validation results

From: m1A-Ensem: accurate identification of 1-methyladenosine sites through ensemble models

Model

Acc

Sp

Sn

MCC

F1-score

AUROC

Bagging

Random Forest

0.82

0.85

0.81

0.77

0.80

0.86

Extra Tree Classifier

0.91

0.92

0.93

0.89

0.83

0.94

Decision Tree

0.87

0.87

0.87

0.74

0.86

0.87

Bagging classifier

0.94

0.98

0.88

0.86

0.93

0.98

Boosting

Gradient Boost

0.90

0.94

0.87

0.85

0.92

0.96

HGB

0.98

0.97

0.95

0.97

0.96

0.98

AdaBoost

0.99

0.98

0.96

0.97

0.96

0.99

XGBoost

0.92

0.96

0.92

0.86

0.92

0.97

Blending

0.91

0.93

0.85

0.92

0.82

0.93