Table 4. Analysis of proposed approach (MuLeHyABSC) for different approaches on testing model TAS.
The bold emphasis shows the highest results achieved by the proposed approach.
| Sr No. | Approach | Features | Accuracy (%) | Precision | Recall | F-score |
|---|---|---|---|---|---|---|
| 1 | MuLeHyABSC+MLP | POS tags + unigram | 84.09 | 0.833 | 0.84 | 0.836 |
| 2 | MuLeHyABSC+SVC | POS tags + unigram | 78.43 | 0.773 | 0.764 | 0.768 |
| 3 | MuLeHyABSC+LR | POS tags + unigram | 80.44 | 0.811 | 0.824 | 0.805 |
| 4 | MuLeHyABSC+DT | POS tags + unigram | 78.43 | 0.773 | 0.764 | 0.768 |
| 5 | MuLeHyABSC+KN | POS tags + unigram | 82.12 | 0.815 | 0.827 | 0.816 |
| 6 | MuLeHyABSC+RF | POS tags + unigram | 80.33 | 0.792 | 0.803 | 0.795 |
| 7 | MuLeHyABSC+AB | POS tags + unigram | 80.16 | 0.815 | 0.818 | 0.816 |
| 8 | MuLeHyABSC+ETC | POS tags + unigram | 81.58 | 0.802 | 0.815 | 0.804 |
| 9 | MuLeHyABSC+GB | POS tags + unigram | 80.33 | 0.792 | 0.803 | 0.795 |
| 10 | MuLeHyABSC+NB | POS tags + unigram | 72.43 | 0.733 | 0.714 | 0.721 |