Use ArcPy to Train Random Forest Model

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Random Forest: Random forest is an ensemble method that combines multiple decision trees to improve accuracy and reduce overfitting. Random forest can handle nonlinear relationships and interactions between variables, and is effective in handling noisy and missing data.

Train your Random Forest model: Use ArcPy to train your Random Forest model using the training data you created in step 4. The ArcPy module for Random Forest is called RandomForestClassifier. You will need to specify the input raster and the training dataset, as well as any other parameters such as the number of trees and the number of variables to use in each split.