From: m1A-Ensem: accurate identification of 1-methyladenosine sites through ensemble models
Model | Acc | Sp | Sn | MCC | F1-score | AUROC | |
---|---|---|---|---|---|---|---|
Bagging | Random Forest | 0.88 | 0.93 | 0.85 | 0.77 | 0.87 | 0.95 |
Extra Tree Classifier | 0.81 | 0.87 | 0.75 | 0.63 | 0.80 | 0.89 | |
Decision Tree | 0.87 | 0.87 | 0.87 | 0.74 | 0.86 | 0.87 | |
Bagging classifier | 0.92 | 0.97 | 0.86 | 0.84 | 0.91 | 0.97 | |
Boosting | Gradient Boost | 0.93 | 0.97 | 0.89 | 0.87 | 0.93 | 0.98 |
 | HGB | 0.99 | 0.98 | 0.97 | 0.98 | 0.97 | 0.99 |
AdaBoost | 0.94 | 0.97 | 0.92 | 0.89 | 0.94 | 0.98 | |
XGBoost | 0.93 | 0.97 | 0.93 | 0.87 | 0.93 | 0.98 | |
Blending | 0.91 | 0.86 | 0.94 | 0.81 | 0.90 | 0.96 |