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 feature to visualize feature = 'feature1' # Create the ICE