[{'role': 'system', 'content': "You are an expert in machine learning and your task is to classify the code snippets into categories from the provided list of categories. List of categories: ['helper_functions', 'load_data', 'data_exploration', 'data_preprocessing', 'evaluation', 'modelling', 'prediction', 'result_visualization', 'save_results', 'comment_only']"}, {'role': 'user', 'content': 'Identify to which category the provided code belongs and assign the code snippet to at least 1 but up to 5 categories based on the probabilities, ignore if the probability of the category is negligible. Strictly provide your response as a list. Avoid providing any additional information, commentary, or personal opinions.\\nPython Code:val = []\ntest = []\nfor i in range(1000):\nrng = np.random.RandomState(i)\nnoise = rng.normal(scale=.1, size=X_train.shape)\nknn = KNeighborsClassifier(n_neighbors=5).fit(X_train + noise, y_train)\nval.append(knn.score(X_val, y_val))\ntest.append(knn.score(X_test, y_test))\nprint("Validation: {:.3f}".format(np.max(val)))\nprint("Test: {:.3f}".format(test[np.argmax(val)]))'}, {'role': 'assistant', 'content': "['evaluation', 'modelling']"}]