Research Article
Analysis of the Customer Churn Prediction Project in the Hotel Industry Based on Text Mining and the Random Forest Algorithm
Table 3
Comparison of the impact of feature selection and parameter adjustment mechanism in the proposed system.
| Methods | Precision | Recall | F1 | Accuracy |
| Random forest + gravitational search algorithm for feature selection | 0.75 | 0.75 | 0.76 | 0.76 | Random forest + differential evolution algorithm for parameters adjustment | 0.74 | 0.75 | 0.76 | 0.74 | Proposed method | 0.77 | 0.76 | 0.76 | 0.77 |
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