Table 6 Comparison Table of Matrices among Different Classifiers
|  | Logistic Regression | Naïve Bayes | Decision Tree | AdaBoost | Random Forest | Bagging Tree |
|---|---|---|---|---|---|---|
Precision | 93.67% | 94.87% | 96.1% | 94.94% | 96.15% | 94.87% |
Recall | 98.67% | 98.67% | 98.67% | 100% | 100% | 98.67% |
F1-Score | 96.1% | 96.73% | 97.37% | 97.4% | 98.04% | 96.73% |
Accuracy | 95.42% | 96.18% | 96.95% | 96.95% | 97.7% | 96.18% |
ROC | 0.959 | 0.957 | 0.967 | 0.984 | 0.989 | 0.985 |