TABLE 3.
Classifier comparison on Train-500.
| SE | SP | ACC | MCC | AUC | |
|---|---|---|---|---|---|
| GBDT | 90.0 | 90.8 | 90.4 | 81.4 | 94.5 |
| XGBoost | 87.2 | 88.8 | 88.0 | 76.4 | 94.3 |
| RandomForest | 87.2 | 92.0 | 89.6 | 79.8 | 94.4 |
| AdaBoost | 82.4 | 81.6 | 82.0 | 64.4 | 89.6 |
| DecisionTree | 87.6 | 81.6 | 84.6 | 70.0 | 84.6 |
| Kneighbors | 82.4 | 74.8 | 78.6 | 57.7 | 87.1 |
| LogisticRegression | 75.6 | 72.4 | 74 | 48.1 | 79.4 |
| GaussianNB | 74.8 | 80.8 | 77.8 | 56.1 | 80.6 |
The maximum values in the table are bold.