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 |