[{'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_stats(session, feature_batch, label_batch, cost, accuracy):\n"""\nPrint information about loss and validation accuracy\n: session: Current TensorFlow session\n: feature_batch: Batch of Numpy image data\n: label_batch: Batch of Numpy label data\n: cost: TensorFlow cost function\n: accuracy: TensorFlow accuracy function\n"""\nloss = session.run(cost, feed_dict={x:feature_batch, y:label_batch, keep_prob:1.})\ntest_valid_size = 512\nacc = session.run(accuracy, feed_dict={x:valid_features[:test_valid_size], y:valid_labels[:test_valid_size], keep_prob:1.})\nprint(\'Loss: {:>10.4f}, Accuracy: {:.6f}\'.format(loss,acc))'}, {'role': 'assistant', 'content': "['evaluation', 'modelling', 'prediction']"}]