| Classifier | Accuracy score | F1 score | Recall score | |
| Train data | Test data | |||
| Logistic Regression | 0.78 | 0.79 | 0.79 | 0.78 |
| Native Bayestion | 0.73 | 0.77 | 0.78 | 0.80 |
| Support Vector Machine (SVM) | 0.79 | 0.81 | 0.80 | 0.75 |
| Random Forest (RF) | 0.98 | 0.81 | 0.80 | 0.76 |
| Bagging | 0.98 | 0.77 | 0.74 | 0.65 |
| Decision Tree | 1.00 | 0.76 | 0.72 | 0.62 |
| Adaboost | 0.96 | 0.80 | 0.79 | 0.76 |
| Extra Trees | 1.00 | 0.77 | 0.75 | 0.67 |