[{'role': 'system', 'content': "You are an expert in machine learning and your task is to classify code snippets into one of the following categories: ['helper_functions', 'load_data', 'data_exploration', 'data_preprocessing', 'evaluation', 'modelling', 'prediction', 'result_visualization', 'save_results', 'comment_only']."}, {'role': 'user', 'content': 'Identify the single most appropriate category to which the provided code belongs. Provide your response as a single category label without any additional information, commentary, or personal opinions.\\nPython Code:from sklearn.naive_bayes import MultinomialNB\nalphas = [.1, 1, 5, 10, 50]\nbest_min_df = 0.001000 # YOUR TURN: put your value of min_df here.\nbest_alpha = None\nmaxscore=-np.inf\nfor alpha in alphas:\nvectorizer = CountVectorizer(min_df=best_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 = alpha, min_df'}, {'role': 'assistant', 'content': 'modelling'}]