[{'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:from sklearn.model_selection import GridSearchCV\nX_train, X_test, y_train, y_test = train_test_split(X, y, stratify=y)\nparam_grid = {\'n_neighbors\':  np.arange(1, 15, 2)}\ngrid = GridSearchCV(KNeighborsClassifier(), param_grid=param_grid, cv=10)\ngrid.fit(X_train, y_train)\nprint("best mean cross-validation score: {:.3f}".format(grid.best_score_))\nprint("best parameters: {}".format(grid.best_params_))\nprint("test-set score: {:.3f}".format(grid.score(X_test, y_test)))'}, {'role': 'assistant', 'content': 'evaluation'}]