Please provide details about your dataset (e.g., assumed input data format, feature column names, target variable name, task type - classification/regression) and your desired Random Forest model configurations (e.g., number of trees, max_depth, random_state, criterion). The AI will then generate a complete and customized Python script for building, training, and evaluating your Random Forest model.
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