Table 4 Outcomes of ML techniques with the BOW feature.
Model | Acc. | G. Mean | Kappa Score | AUC score | Brier score | Prec. | Recall | F1 |
---|---|---|---|---|---|---|---|---|
SVM | 0.43 | 0.35 | 0.13 | 0.65 | 0.17 | 0.45 | 0.43 | 0.44 |
DT | 0.78 | 0.73 | 0.66 | 0.84 | 0.24 | 0.82 | 0.79 | 0.80 |
KNC | 0.64 | 0.58 | 0.43 | 0.78 | 0.29 | 0.73 | 0.64 | 0.68 |
LR | 0.87 | 0.84 | 0.80 | 0.95 | 0.25 | 0.88 | 0.87 | 0.87 |