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.

Random Forest Algorithm: A Comprehensive Guide with Visualizations

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