Table 2.
Confusion metrics analysis for applying classifier.
| Model name | Label | Predictive negative | Predictive positive |
|
| |||
| Naïve Bayes and weighted approach | Actual negative | 6314 | 6214 |
| Actual positive | 5076 | 5142 | |
|
| |||
| 2 SVM's and XGBoost | Actual negative | 6314 | 6014 |
| Actual positive | 5410 | 5142 | |
|
| |||
| SVM and DO | Actual negative | 5897 | 5001 |
| Actual positive | 4517 | 4221 | |
|
| |||
| XGBoost | Actual negative | 5794 | 5001 |
| Actual positive | 4876 | 4221 | |