[{'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:fontsize=20\nplt.figure(figsize=(15,5))\nplt.subplot(121)\nsns.set(font_scale=1.8)\nsns.heatmap(acc_matrix)\nplt.xticks(np.arange(11)+0.5,rotation='horizontal',fontsize=fontsize)\nplt.yticks(np.arange(11)+0.5,rotation='horizontal',fontsize=fontsize)\nplt.xlabel('Training Mouse',fontsize=fontsize)\nplt.ylabel('Testing Mouse',fontsize=fontsize)\nplt.title('Accuracy',fontsize=fontsize)\nplt.subplot(122)\nsns.heatmap(F1_matrix)\nplt.xticks(np.arange(11)+0.5,rotation='horizontal',fontsize=fontsize)\nplt.yticks(np.arange(11)+0.5,rotation='horizontal',fontsize=fontsize)\nplt.xlabel('Training Mouse',fontsize=fontsize)\nplt.ylabel('Testing Mouse',fontsize=20)\nplt.title('F1',fontsize=fontsize)"}, {'role': 'assistant', 'content': "['result_visualization']"}]