Classifier Name | Accuracy | Precision | Recall | F1-Score |
Random Forest | 91.08% | 0.78 | 0.82 | 0.80 |
Logistic Regression | 88.68% | 0.77 | 0.72 | 0.75 |
KNeighbor | 79.97% | 0.67 | 0.72 | 0.70 |
AdaBoost | 88.89% | 0.87 | 0.53 | 0.65 |
Decision Tree | 86.24% | 0.74 | 0.81 | 0.77 |
Multinomial naive Bayes | 89.44% | 0.78 | 0.73 | 0.76 |
SVM | 88.90% | 0.78 | 0.72 | 0.75 |