同义高级简洁替换： The random forest RF approach is a classification tree-based machine learning algorithm proposed by Breiman 2001 The model uses a resampling method to extract multiple samples from the origi

The RF approach is a classification tree-based algorithm introduced by Breiman (2001). It employs resampling to generate multiple samples from the original data, constructs a decision tree model for each sample, and aggregates the predictions from multiple trees. Visualizations were created using the 'ggplot2' package in R software and Origin 2022.