Table 6.
Results of classical models when trained on gold standard dataset
| Classifier | P | R | F | A |
|---|---|---|---|---|
| LR | 0.9635 | 0.9494 | 0.9564 | 0.9573 |
| SVM | 0.9943 | 0.9842 | 0.9892 | 0.9894 |
| NB | 0.7191 | 0.9898 | 0.8330 | 0.8043 |
| RF | 0.8032 | 0.7685 | 0.7855 | 0.7929 |
| DT | 0.9447 | 0.9601 | 0.9523 | 0.9526 |
Results of classical models when trained on gold standard dataset
| Classifier | P | R | F | A |
|---|---|---|---|---|
| LR | 0.9635 | 0.9494 | 0.9564 | 0.9573 |
| SVM | 0.9943 | 0.9842 | 0.9892 | 0.9894 |
| NB | 0.7191 | 0.9898 | 0.8330 | 0.8043 |
| RF | 0.8032 | 0.7685 | 0.7855 | 0.7929 |
| DT | 0.9447 | 0.9601 | 0.9523 | 0.9526 |