[{'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:# Plotting loss and accuracy for the model\ndef plot_accuracy_and_loss(history):\n    eval_res = pd.DataFrame(history.history)\n    f, ax = plt.subplots(1,2, figsize=(18,5))\n    for i, c in enumerate(['acc', 'loss']):\n        ax[i].plot(eval_res[[c]], label=f'Training {c}')\n        ax[i].plot(eval_res[[f'val_{c}']], label=f'Validation {c}')\n        ax[i].set_xlabel('Epoch'); ax[i].set_ylabel(c);\n        ax[i].legend(); ax[i].set_title(f'Training and validation {c}'); plt.grid();\n    plt.show()\nplot_accuracy_and_loss(history)"}, {'role': 'assistant', 'content': "['result_visualization']"}]