Table 3 Comparison of results with different methods to predict hot spots
From: Improve hot region prediction by analyzing different machine learning algorithms
Methods | Hot Spot | |||
|---|---|---|---|---|
Accuracy | Recall | Precision | F-measure | |
GNB | 0.674 | 0.792 | 0.561 | 0.657 |
SVM | 0.696 | 0.6 | 0.618 | 0.609 |
Xgboost | 0.726 | 0.596 | 0.672 | 0.632 |
RF | 0.693 | 0.596 | 0.615 | 0.605 |
ANN | 0.715 | 0.679 | 0.632 | 0.655 |