An Effective Approach to Promote Air Traveler Repurchasing Using the Random Forest Algorithm: Predictive Model Design and Utility Evaluation

Table 2

(70–30%) of data: models’ performances.

Models	Accuracy	Precision	Recall	F1	Time(minutes)
KNN	0.8925	0.7882	0.7687	0.7721	10.7984
DT	0.8995	0.8028	0.7768	0.7888	0.4558
RF	0.9224	0.8706	0.7957	0.8268	5.8581
SVM	0.8800	0.7597	0.8153	0.7826	1 : 23.6638
ExtraTree	0.9157	0.8426	0.8006	0.8194	0.3730