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RandomForestClassifier() model.fit(X_train, y_train) # Make predictions predictions = model.predict(X_test) 17. Hyperparameter tuning: The process of selecting the optimal values for hyperparameters, which are parameters that govern the model’s behavior. Grid search and random search are common