[{'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:x, y = make_xy(critics, vectorizer)\nprob = clf.predict_proba(x)[:, 0]\npredict = clf.predict(x)\nbad_rotten = np.argsort(prob[y == 0])[:5]\nbad_fresh = np.argsort(prob[y == 1])[-5:]\nprint("Mis-predicted Rotten quotes")\nprint(\'---------------------------\')\nfor row in bad_rotten:\nprint(critics[y == 0].quote.iloc[row])\nprint("")\nprint("Mis-predicted Fresh quotes")\nprint(\'--------------------------\')\nfor row in bad_fresh:\nprint(critics[y == 1].quote.iloc[row])\nprint("")'}, {'role': 'assistant', 'content': 'prediction'}]