[{'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:fig, axes = plt.subplots(2, 2, figsize=(8, 8))\nfor ax, n_neighbors in zip(axes.ravel(), [1, 5, 10, 30]):\nax.set_title("n_neighbors={}".format(n_neighbors))\nclf = KNeighborsClassifier(n_neighbors=n_neighbors).fit(X, y)\nax.scatter(X[:, 0], X[:, 1], c=y, edgecolor=\'k\')\nplot_2d_classification(clf, X, ax=ax, alpha=.5)\nax.set_aspect("equal")'}, {'role': 'assistant', 'content': 'result_visualization'}]