Statistics, Regression, Data Science, Machine Learning, AI.
forward and predict values for our dependent variable Y in the testing set. y_pred = model.predict(X_test) # Running predictions rmse = mean_squared_error(y_test, y_pred,squared = False) # Computing RMSE print(f'\nRoot Mean Squared Error for Baseline Model: {rmse:.2f}') Root Mean Squared Error for