[{'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:fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(20, 10))\nax1.plot(fit_results.history['loss'], label='Training')\nax1.plot(fit_results.history['val_loss'], label='Validation')\nax1.legend()\nax1.set_title('Loss History')\nax2.plot(100*np.array(fit_results.history['binary_accuracy']), label='Training')\nax2.plot(100*np.array(fit_results.history['val_binary_accuracy']), label='Validation')\nax2.legend()\nax2.set_title('Accuracy History')"}, {'role': 'assistant', 'content': 'result_visualization'}]