[{'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:scorecard = []\nfor record in test_data_list:\nall_values = record.split(',')\ncorrect_label = int(all_values[0])\ninputs = (numpy.asfarray(all_values[1:]) / 255.0 * 0.99) + 0.01\noutputs = n.query(inputs)\nlabel = numpy.argmax(outputs)\nif (label == correct_label):\nscorecard.append(1)\nelse:\nscorecard.append(0)\npass\npass"}, {'role': 'assistant', 'content': "['evaluation', 'prediction']"}]