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Table 5 Precision, recall, and F-measure (0.9) ratios for each classifier

From: Multimodal game bot detection using user behavioral characteristics

Classifier Overall accuracy Human Bot
Precision Recall F-meas. (0.9) Precision Recall F-meas. (0.9)
Decision tree 0.955 0.96 0.989 0.963 0.911 0.737 0.89
Random forest 0.961 0.961 0.995 0.964 0.956 0.742 0.929
Logistic regression 0.955 0.956 0.994 0.96 0.95 0.705 0.918
Naïve Bayes 0.948 0.96 0.981 0.962 0.859 0.734 0.845
  1. The random forest model employs the highest performance with overall accuracy rate of 0.961