Table 3.
Results for Burnout vs. No Burnout (Balanced)—Dataset 2 (BNB-balanced) (no. test samples = 234).
| Model | Mean CV Accuracy | Mean CV F1 | Test Accuracy | Test F1 |
|---|---|---|---|---|
| Logistic regression | 0.91 | 0.91 | 0.87 | 0.88 |
| SVM Linear | 0.89 | 0.89 | 0.84 | 0.85 |
| SVM RBF | 0.88 | 0.88 | 0.89 | 0.89 |
| SVM Poly degree 3 | 0.60 | 0.35 | 0.60 | 0.41 |
| SVM Sigmoid | 0.85 | 0.85 | 0.82 | 0.82 |
| Random Forest | 0.92 | 0.92 | 0.88 | 0.89 |
The mean CV statistics are computed by taking an average of overall 10 folds CV during training.