[{'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:alphas = [0, .1, 1, 5, 10, 50]\nmin_dfs = [1e-5, 1e-4, 1e-3, 1e-2, 1e-1]\nbest_alpha = None\nbest_min_df = None\nmaxscore=-np.inf\nfor alpha in alphas:\nfor min_df in min_dfs:\nvectorizer = CountVectorizer(min_df = min_df)\nXthis, ythis = make_xy(critics, vectorizer)\nXtrainthis=Xthis[mask]\nytrainthis=ythis[mask]\nclf = MultinomialNB(alpha=alpha)\ncvscore = cv_score(clf, Xtrainthis, ytrainthis, log_likelihood)\nif cvscore > maxscore:\nmaxscore = cvscore\nbest_alpha, best_min_df = float(alpha), float(min_df)'}, {'role': 'assistant', 'content': "['evaluation', 'modelling']"}]