Analysis of the Customer Churn Prediction Project in the Hotel Industry Based on Text Mining and the Random Forest Algorithm

Figure 5

Comparison of F1 of random forest, gradient boosting classifier, naive Bayes, decision tree, KNN methods, and the proposed system.