Table 7.
Testing performance (Class wise).
| Model | Class name | Precession | Recall | F1 Score | Support |
|---|---|---|---|---|---|
| Adaboost | Agree | 1.00 | 1.00 | 1.00 | 17 |
| Neutral | 0.54 | 0.77 | 0.63 | 265 | |
| Disagree | 0.00 | 0.00 | 0.00 | 74 | |
| Strongly agree | 0.39 | 0.20 | 0.26 | 86 | |
| Strongly dis-agree | 0.22 | 0.23 | 0.22 | 79 | |
| Gradient Boost | Agree | 1.00 | 1.00 | 1.00 | 17 |
| Neutral | 0.93 | 0.92 | 0.93 | 265 | |
| Disagree | 1.00 | 1.00 | 1.00 | 74 | |
| Strongly agree | 1.00 | 1.00 | 1.00 | 86 | |
| Strongly dis-agree | 0.75 | 0.77 | 0.76 | 79 | |
| Decision Tree | Agree | 1.00 | 1.00 | 1.00 | 17 |
| Neutral | 0.93 | 0.92 | 0.93 | 265 | |
| Disagree | 1.00 | 1.00 | 1.00 | 74 | |
| Strongly agree | 1.00 | 1.00 | 1.00 | 86 | |
| Strongly dis-agree | 0.75 | 0.77 | 0.76 | 79 | |
| Random Forest | Agree | 1.00 | 1.00 | 1.00 | 17 |
| Neutral | 0.55 | 1.00 | 0.71 | 265 | |
| Disagree | 1.00 | 0.50 | 0.67 | 74 | |
| Strongly agree | 0.00 | 0.00 | 0.00 | 86 | |
| Strongly dis-agree | 0.00 | 0.00 | 0.00 | 79 |