[{'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:miscl_img = X_test[y_test != y_test_pred][:25]\ncorrect_lab = y_test[y_test != y_test_pred][:25]\nmiscl_lab = y_test_pred[y_test != y_test_pred][:25]\nfig, ax = plt.subplots(nrows=5,\nncols=5,\nsharex=True,\nsharey=True,)\nax = ax.flatten()\nfor i in range(25):\nimg = miscl_img[i].reshape(28, 28)\nax[i].imshow(img, cmap='Greys', interpolation='nearest')\nax[i].set_title('%d) t: %d p: %d' %(i+1, correct_lab[i], miscl_lab[i]))\nax[0].set_xticks([])\nax[0].set_yticks([])\nplt.tight_layout()\nplt.show()"}, {'role': 'assistant', 'content': "['data_exploration', 'result_visualization']"}]