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 |