Python, Programming, Data Science, Artificial Intelligence, Machine Learning.
Load the dataset X_train = ... # Training features y_train = ... # Training labels # Train a random forest regressor rf_regressor = RandomForestRegressor(n_estimators=100, random_state=42) rf_regressor.fit(X_train, y_train) # Select the features to visualize features = ['feature1', 'feature2'] #