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