Table 4 Comparison of results with different methods to predict hot regions
From: Improve hot region prediction by analyzing different machine learning algorithms
| Methods | Hot Region | ||
|---|---|---|---|
| Recall | Precision | F-measure | |
| GNB | 0.766 | 0.923 | 0.809 |
| SVM | 0.617 | 0.725 | 0.667 |
| Xgboost | 0.574 | 0.6 | 0.587 |
| RF | 0.617 | 0.644 | 0.63 |
| ANN | 0.596 | 0.538 | 0.567 |