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.

MethodsPrecisionRecallF1Accuracy

Random forest + gravitational search algorithm for feature selection0.750.750.760.76
Random forest + differential evolution algorithm for parameters adjustment0.740.750.760.74
Proposed method0.770.760.760.77