[{'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:r_fp = filtered_pluto[filtered_pluto['Borough'] == 'Queens']\nr_fp = r_fp[r_fp['Address'].map(lambda a: 'ROOSEVELT AVENUE' in a)]\nplt.scatter(r_fp['XCoord'], r_fp['YCoord'])\nplt.figure(figsize=(24,10))\nr_fp_1 = r_fp[r_fp['XCoord'] < 1027500]\nr_fp_2 = r_fp[r_fp['XCoord'] > 1027500]\nr_1 = generate(r_fp_1, pnyc, 'ROOSEVELT AVENUE', n=10)\nr_2 = generate(r_fp_2, pnyc, 'ROOSEVELT AVENUE', n=10)\nr = np.concatenate((r_1, r_2))\ndistance(r)"}, {'role': 'assistant', 'content': 'prediction'}]