| SN | Classifications Methods | Precision (%) | Recall (%) | F1 Score (%) | Accuracy (%) |
| 1 | Extra Trees Classifier | 88 | 96 | 92 | 91.47 |
| 2 | Gradient Boosting Classifier | 92 | 92 | 92 | 91.79 |
| 3 | Logistic Regression | 94 | 92 | 93 | 93.13 |
| 4 | Passive Aggressive Classifier | 95 | 96 | 96 | 95.89 |
| 5 | SGD Classifier | 94 | 94 | 94 | 94.08 |
| 6 | Perceptron Classifier | 94 | 94 | 94 | 94.23 |
| 7 | RidgeClassifier | 95 | 94 | 95 | 94.71 |
| 8 | LinearSVC Classifier | 96 | 95 | 95 | 95.50 |
| 9 | Random Forest Classifier | 91 | 95 | 93 | 92.65 |
| 10 | AdaBoost Classifier | 89 | 87 | 88 | 88.31 |
| 11 | SVC Classifier | 50 | 100 | 66 | 49.80 |
| 12 | Bagged Classifier | 00 | 00 | 00 | 50.19 |
| 13 | Decision Tree Classifier | 82 | 85 | 83 | 83.10 |
| 14 | KNeighborsClassifier | 99 | 13 | 23 | 57.00 |