[{'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:colors = sns.color_palette('hls',n_colors=len(mice))\nplt.figure(figsize=(12,5))\nplt.suptitle('Higher switch rates anti-correlate with accuracy on test mice',fontsize=20,x=0.5,y=1.1)\nplt.subplot(121)\nfor i,mouse in enumerate(mice):\nplt.scatter(u_switch[i],acc_matrix[i,:].mean(),label=mouse,c=colors[i],s=50)\nplt.xlabel('mean switch rate')\nplt.ylabel('mean accuracy when used as test mouse')\nplt.ylim(0.75,1)\nplt.xlim(0,0.22)\nplt.title('Testing accuracy vs mean switch rate')\nplt.subplot(122)\nfor i,mouse in enumerate(mice):\nplt.scatter(u_switch[i],acc_matrix[:,i].mean(),label=mouse,c=colors[i],s=50)\nplt.legend(bbox_to_anchor=(1.3,1))\nplt.xlabel('mean switch rate')\nplt.ylabel('mean accuracy when used as train mouse')\nplt.ylim(0.75,1)\nplt.xlim(0,0.22)\nplt.title('Training accuracy vs mean switch rate')\nplt.tight_layout()"}, {'role': 'assistant', 'content': 'result_visualization'}]