[{'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:def draw_tree(model, columns):\n    import pydotplus\n    from sklearn.externals.six import StringIO\n    from IPython.display import Image\n    import os\n    from sklearn import tree\n    \n    graphviz_path = \'C:\\\\Program Files (x86)\\\\Graphviz2.38/bin/\'\n    os.environ["PATH"] += os.pathsep + graphviz_path\n\n    dot_data = StringIO()\n    tree.export_graphviz(model,\n                         out_file=dot_data,\n                         feature_names=columns)\n    graph = pydotplus.graph_from_dot_data(dot_data.getvalue())  \n    return Image(graph.create_png())\''}, {'role': 'assistant', 'content': 'helper_functions'}]