[{'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:%matplotlib inline\nfrom matplotlib import pyplot as plt\nclasses = set(y)\ncolors = ['red', 'green']\nfor cur_class, color in zip(classes, colors):\nmask = (y == cur_class).values\nplt.scatter(Xd[mask,0], Xd[mask,1], marker='o', color=color, label=int(cur_class))\nplt.legend()\nplt.show()"}, {'role': 'assistant', 'content': 'result_visualization'}]