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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
  1. The highest value in each column is shown in bold