Table 10. Results for machine learning classifiers on the combined validation dataset.
| Parameters | BoW | TF-IDF | GloVe | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| DT | RF | ETC | SVC | DT | RF | ETC | SVC | DT | RF | ETC | SVC | |
| Accuracy | 0.60 | 0.68 | 0.68 | 0.69 | 0.62 | 0.70 | 0.70 | 0.70 | 0.59 | 0.66 | 0.66 | 0.60 |
| Precision | 0.69 | 0.70 | 0.67 | 0.68 | 0.66 | 0.71 | 0.70 | 0.69 | 0.58 | 0.66 | 0.66 | 0.60 |
| Recall | 0.55 | 0.65 | 0.66 | 0.68 | 0.55 | 0.67 | 0.68 | 0.69 | 0.58 | 0.64 | 0.64 | 0.56 |
| F-Score | 0.47 | 0.64 | 0.66 | 0.68 | 0.49 | 0.67 | 0.68 | 0.69 | 0.58 | 0.64 | 0.64 | 0.53 |