[{'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:# How about using this features directly? (Not using the scaling and normalization)\nfig = plt.figure()\nfig.set_size_inches(35, 35)\nsns.set(font_scale=2)\n\n# Delete 'Id' and change cover type to dummy variables\ncont_var_train_set = train_set.drop('Id', axis=1).drop(cate_vars, axis=1)\n\n# Categorical feature : cannot using correlation directly.\ncont_var_train_set_dum = pd.get_dummies(cont_var_train_set, columns=['Cover_Type'])\n\ncorrelation = cont_var_train_set_dum.corr()\nsns.heatmap(correlation, cmap='viridis', annot=True, linewidths=3)"}, {'role': 'assistant', 'content': 'result_visualization'}]