Multimodal game bot detection using user behavioral characteristics

SpringerPlus

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

Classifier	Overall accuracy	Human			Bot
Classifier	Overall accuracy	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

The random forest model employs the highest performance with overall accuracy rate of 0.961