[{'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:sns.set_style('white')\nfontsize = 15\nplt.figure(figsize=(3,3))\nplt.errorbar(np.arange(coefs.shape[1]-1),coefs[coefs['Condition'] == 90].iloc[:,1:].mean(),\nyerr= coefs[coefs['Condition'] == 90].iloc[:,1:].mean() / np.sqrt(np.sum(coefs['Condition'] == 90)),\ncolor='red',alpha=0.5,linewidth=5)\nplt.errorbar(np.arange(coefs.shape[1]-1),coefs[coefs['Condition'] == 80].iloc[:,1:].mean(),\nyerr= coefs[coefs['Condition'] == 90].iloc[:,1:].mean() / np.sqrt(np.sum(coefs['Condition'] == 90)),\ncolor='green',alpha=0.5,linewidth=5)\nplt.errorbar(np.arange(coefs.shape[1]-1),coefs[coefs['Condition'] == 70].iloc[:,1:].mean(),\nyerr= coefs[coefs['Condition'] == 90].iloc[:,1:].mean() / np.sqrt(np.sum(coefs['Condition'] == 90)),\ncolor='navy',alpha=0.5,linewidth=5)\nplt.scatter(np.arange(coefs.shape[1]-1),coefs[coefs['Condition'] == 90].iloc[:,1:].mean(),\ncolor='red',label='90-10',s=100)\nplt.scatter(np.arange(coefs.shape[1]-1),coefs[coefs['Condition'] == 80].iloc[:,1:].mean(),\ncolor='green',label='80-20',s=100)\nplt.scatter(np.arange(coefs.shape[1]-1),coefs[coefs['Condition'] == 70].iloc[:,1:].mean(),\ncolor='navy',label='70-30',s=100)\nplt.legend(loc='upper left',fontsize=fontsize)\nplt.xlabel('')\nplt.yticks([0,1,2],fontsize=fontsize)\nplt.xticks(fontsize=fontsize)\nplt.ylabel('coefficient value',fontsize=fontsize)\nplt.xlim(-0.5,8.5)\nplt.title('Regression Coefficients',fontsize=fontsize)\nsns.despine()"}, {'role': 'assistant', 'content': 'result_visualization'}]