[{'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: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'}]