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Table 7. 
Evaluation of the classification results − best parameter settings
Model+1 (best parameter)
PrecisionRecallF1Accuracy
Logistic 0.9410 0.7018 0.8040 0.9847 
Random Forest 0.9584 0.8337 0.8917 0.9910 
AdaBoost 0.9196 0.8605 0.8891 0.9904 
Heuristic 0.9110 0.6742 0.7749 0.9825 
Model+1 (best parameter)
PrecisionRecallF1Accuracy
Logistic 0.9410 0.7018 0.8040 0.9847 
Random Forest 0.9584 0.8337 0.8917 0.9910 
AdaBoost 0.9196 0.8605 0.8891 0.9904 
Heuristic 0.9110 0.6742 0.7749 0.9825 
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