[{'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:def ratings_sorted_search_results(search_result):\nmean_ratings = []\nmovie_indices = []\nfor i in search_result.index:\nmovie_index = search_result['index'][i] # 'index' of movie as in movies_df\nmean_rating = grouped_movies.get_group(search_result['movieId'][i])['rating'].mean()\nmean_ratings.append(mean_rating)\nmovie_indices.append(movie_index)\nmean_ratings_df = pd.DataFrame({'index': movie_indices, 'mean_rating': mean_ratings})\nmerged_df = search_result.merge(mean_ratings_df, on='index')\nsorted_merged_df = merged_df.sort_values(by='mean_rating', ascending=False).reset_index(drop=True)\nreturn sorted_merged_df"}, {'role': 'assistant', 'content': "['data_preprocessing']"}]