Table 2 Accuracy, precision, recall, and F-measure for the machine learning algorithms
Model | Accuracy | Precision | Recall | F1-Score | AUC |
|---|---|---|---|---|---|
Random forest | 79.4 | 79.0 | 91.0 | 84.0 | 83.8 |
Decision tree | 75.3 | 76.0 | 88.0 | 81.0 | 82.7 |
Logistic Regression | 63.2 | 64.4 | 87.0 | 74.0 | 63.5 |
Naive Basis | 70.0 | 72.0 | 81.0 | 76.0 | 71.9 |