Classifier | MCC | F1 score | Accuracy | TP rate | TN rate |
---|---|---|---|---|---|
MCC ranking: | |||||
Gradient boosting | +0.55 | 0.81 | 0.78 | 0.85 | 0.69 |
Decision tree | +0.53 | 0.82 | 0.77 | 0.88 | 0.58 |
k-nearest neighbors | +0.48 | 0.87 | 0.80 | 0.92 | 0.52 |
Linear SVM | +0.41 | 0.82 | 0.76 | 0.86 | 0.53 |
Radial SVM | +0.29 | 0.75 | 0.67 | 0.86 | 0.40 |
F1 score ranking: | |||||
k-nearest neighbors | +0.48 | 0.87 | 0.80 | 0.92 | 0.52 |
Linear SVM | +0.41 | 0.82 | 0.76 | 0.86 | 0.53 |
Decision tree | +0.53 | 0.82 | 0.77 | 0.88 | 0.58 |
Gradient boosting | +0.55 | 0.81 | 0.78 | 0.85 | 0.69 |
Radial SVM | +0.29 | 0.75 | 0.67 | 0.86 | 0.40 |
Accuracy ranking: | |||||
k-nearest neighbors | +0.48 | 0.87 | 0.80 | 0.92 | 0.52 |
Gradient boosting | +0.55 | 0.81 | 0.78 | 0.85 | 0.69 |
Decision tree | +0.53 | 0.82 | 0.77 | 0.88 | 0.58 |
Linear SVM | +0.41 | 0.82 | 0.76 | 0.86 | 0.53 |
Radial SVM | +0.29 | 0.75 | 0.67 | 0.86 | 0.40 |