[{'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 scipy.stats import rankdata\n\n# We use normalized ranks because probabilities emissions from the two models may differ\ndnn_rank = rankdata(tabular_dnn_submission.Action, method=\'dense\') / len(Xt)\ncat_rank = rankdata(cat_boost_submission.Action, method=\'dense\') / len(Xt)\n\nsubmission = pd.DataFrame(Xt.id)\nsubmission[\'Action\'] = 0.5 * dnn_rank + 0.5 * cat_rank \nsubmission.to_csv("blended_submission.csv", index=False)\''}, {'role': 'assistant', 'content': 'save_results'}]