[{'role': 'system', 'content': "You are an expert in machine learning and your task is to classify the code snippets into categories from the provided list of categories. List of categories: ['helper_functions', 'load_data', 'data_exploration', 'data_preprocessing', 'evaluation', 'modelling', 'prediction', 'result_visualization', 'save_results', 'comment_only']"}, {'role': 'user', 'content': 'Identify to which category the provided code belongs and assign the code snippet to at least 1 but up to 5 categories based on the probabilities, ignore if the probability of the category is negligible. Strictly provide your response as a list. Avoid providing any additional information, commentary, or personal opinions.\\nPython Code:#Polynomial Regression\npolynomial_features= PolynomialFeatures(degree=2)\nx_poly = polynomial_features.fit_transform(x_train)\nx_poly_test = polynomial_features.fit_transform(x_test)\nmodel = LinearRegression()\nmodel.fit(x_poly, y_train)\ny_predicted_p = model.predict(x_poly_test)\nmse = mean_squared_error(y_test, y_predicted_p)\nr = r2_score(y_test, y_predicted_p)\nmae = mean_absolute_error(y_test,y_predicted_p)\nprint("Mean Squared Error:",mse)\nprint("R score:",r)\nprint("Mean Absolute Error:",mae)'}, {'role': 'assistant', 'content': "['modelling']"}]