[{'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 calc_roc_auc(y, predict_probs):\n    \n    """\n    Function accepts labels (matrix y) and predicted probabilities\n    Function calculates fpr (false positive rate), tpr (true postivies rate), thresholds and auc (area under\n    the roc curve)\n    Function returns auc\n    """\n    fpr, tpr, thresholds = metrics.roc_curve(y, predict_probs)\n    roc_auc = metrics.auc(fpr, tpr)\n    \n    return roc_auc'}, {'role': 'assistant', 'content': "['helper_functions', 'comment_only']"}]