[{'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:corr = train[numeric].drop(\'count\', axis=1).corr()<br>corr =corr.drop(\'count_log\', axis=1).corr() # We already examined SalePrice correlations<br>plt.figure(figsize=(12, 10))<br>sns.heatmap(corr[(corr >= 0.5) | (corr <= -0.4)], <br>            cmap=\'viridis\', vmax=1.0, vmin=-1.0, linewidths=0.1,<br>            annot=True, annot_kws={"size": 8}, square=True);'}, {'role': 'assistant', 'content': 'result_visualization'}]