[{'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:scores = []\nfor i in range(train_test_frontier, len(ser.index) - horizon):\ny_true = ser.iloc[i:(i + horizon)]\ny_hat = ser.iloc[(i - window_size):i].tolist()\nfor j in range(horizon):\ny_hat.append(sum(y_hat[-window_size:]) / window_size)\ny_hat = y_hat[window_size:]\nscore = r2_score(y_true, y_hat)\nscores.append(score)\nif i % plot_every_n_steps == 0:\nplot_fact_vs_forecast(y_true, y_hat, i, horizon)\nsum(scores) / len(scores)'}, {'role': 'assistant', 'content': "['data_exploration', 'evaluation', 'result_visualization']"}]