Table 4.
Results for Burnout vs. No Burnout (no keywords)—Dataset 3 (BNB-no-key-words) (no. test samples = 234).
| Model | Mean CV Accuracy | Mean CV F1 | Test Accuracy | Test F1 |
|---|---|---|---|---|
| Logistic regression | 0.88 | 0.88 | 0.86 | 0.87 |
| SVM Linear | 0.85 | 0.85 | 0.82 | 0.83 |
| SVM RBF | 0.85 | 0.83 | 0.85 | 0.86 |
| SVM Poly degree 3 | 0.59 | 0.34 | 0.59 | 0.40 |
| SVM Sigmoid | 0.79 | 0.80 | 0.81 | 0.82 |
| Random Forest | 0.88 | 0.88 | 0.87 | 0.88 |
The mean CV statistics are computed by taking an average of overall 10 folds CV during training.