随机森林分析与变量重要性评估

Using the R package "randomForest" to perform a Random Forest analysis on the uploaded data, obtain feature (variable) importance scores, and visualize them using "ggplot2". The importance of each variable in the classification tree is evaluated based on the Mean Decrease Gini criterion. Generally, a higher value indicates greater importance of the variable.