[{'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:name5 = ['Residual for casual using RandomForest Model'] *1633\nname6 = ['Residual for casual using XGBoost Model'] *1633\nname7 = ['Residual for registered using RandomForest Model'] *1633\nname8 = ['Residual for registered using XGBoost Model'] *1633\n\ndic = {'Lin': 'Output Predicted using linear model',\n       'Lin_poly': 'Output Predicted using polynomial features',\n       'RF' : 'Output Predicted using RandomForest Model',\n       'XG': 'Output Predicted using XGBoost Model',\n       'Resid':'Deviation from predicted','Output':'Expected Output',\n       'Resid_poly':'Deviation from predicted','Resid_rf':'Deviation from predicted',\n       'Output':'Expected Output','Resid_xg':'Deviation from predicted'}\n\nfig5 = px.scatter(data_frame = x1_final,x = 'RF', y = 'Resid_rf',hover_data = ['Output'],\n                  labels = dic,hover_name = name7,color_discrete_sequence = ['red'])\nfig6 = px.scatter(data_frame = x1_final,x = 'XG', y = 'Resid_xg',hover_data = ['Output'],\n                  labels = dic,hover_name = name8,color_discrete_sequence = ['blue'])\nfig7 = px.scatter(data_frame = x2_final,x = 'RF', y = 'Resid_rf',hover_data = ['Output'],\n                  labels = dic,hover_name = name5,color_discrete_sequence = ['darkgreen'])\nfig8 = px.scatter(data_frame = x2_final,x = 'XG', y = 'Resid_xg',hover_data = ['Output'],\n                  labels = dic,hover_name = name6,color_discrete_sequence = ['gold'])\n\ntrace5 = fig5['data'][0]\ntrace6 = fig6['data'][0]\ntrace7 = fig7['data'][0]\ntrace8 = fig8['data'][0]\n\nfig = make_subplots(rows=2, cols=2,horizontal_spacing =0.1,vertical_spacing  = 0.2,\n                    row_titles = ['Random Forest','XGBoost'],\n                    column_titles = ['Casual','Registered'],\n                    x_title = 'Residual plots for Registered and Casual under different models (Hover for more details)')\n\nfig.add_trace(trace5, row=1, col=2)\nfig.add_trace(trace6, row=2, col=2)\nfig.add_trace(trace7, row=1, col=1)\nfig.add_trace(trace8, row=2, col=1)\nfig.show()"}, {'role': 'assistant', 'content': "['result_visualization']"}]