[{'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_train = df[new_feat].fillna(0)\ny_train = df['interest_level']\nvclf.fit(X_train, y_train)\n\n\ndf2 = pd.read_json('../input/test.json')\ndf2['address'] = df2['display_address'].astype('category').cat.codes\ndf2['street_address'] = df2['street_address'].astype('category').cat.codes\ndf2['building_id'] = df2['building_id'].astype('category').cat.codes\ndf2['manager_id'] = df2['manager_id'].astype('category').cat.codes\ndf2['num_features'] = df2['features'].apply(len)\ndf2['created'] = pd.to_datetime(df2['created'])\ndf2['created_year'] = df2['created'].dt.year.astype('category').cat.codes\ndf2['created_month'] = df2['created'].dt.month.astype('category').cat.codes\ndf2['len_description'] = df2['description'].apply(lambda x: len(x.split(' ')))\ndf2['num_pics'] = df2['photos'].apply(len)\n\nX = df2[new_feat].fillna(0)\ny = vclf.predict_proba(X)"}, {'role': 'assistant', 'content': 'data_preprocessing'}]