Table 9 Comparison of ML models using k-fold cross-validation with different features.
Technique | Accuracy | K-Fold | Bow | TF-IDF | Transfer feature |
|---|---|---|---|---|---|
Std. dev. (±) | Std. dev. (±) | Std. dev. (±) | |||
SVM | 0.48 | 10 | 0.0080 | 0.0490 | 0.0019 |
DT | 0.80 | 10 | 0.0044 | 0.0034 | 0.0022 |
KNC | 0.65 | 10 | 0.0053 | 0.0034 | 0.0022 |
LR | 0.81 | 10 | 0.0029 | 0.0036 | 0.0013 |