[{'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:for i in range(0, 50):\nX_test = np.asarray(img_crop_padded(images_test[i], patch_size, patch_size, pad))\nprediction = final_model.predict([X_test, X_test], batch_size=32)\npredict_binary = np.where(prediction > 0.5, 1, 0)\nim_test = deflatten(predict_binary, patch_size)\nim_non_flat = np.asarray(im_test)\npredicted_im = label_to_img(w, h, patch_size, patch_size, im_non_flat)\nj = i + 1\nscipy.misc.imsave('prediction/resultImage_' + '%.3d' % j + '.png', predicted_im)"}, {'role': 'assistant', 'content': "['save_results']"}]