[{'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:def print_cv(model, X, y, cv=10):\nscores = cross_validation.cross_val_score(model, X, y, cv=cv)\nmean_score = scores.mean()\nstd_dev = scores.std()\nstd_error = scores.std() / math.sqrt(scores.shape[0])\nci =  2.262 * std_error\nlower_bound = mean_score - ci\nupper_bound = mean_score + ci\nprint("Score is %f +/-  %f" % (mean_score, ci))\nprint(\'95 percent probability that if this experiment were repeated over and over the average score would be between %f and %f\' % (lower_bound, upper_bound))'}, {'role': 'assistant', 'content': "['evaluation']"}]