[{'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:import xgboost as xg\nxgr=xg.XGBRegressor(max_depth=8,min_child_weight=6,gamma=0.4,colsample_bytree=0.6,subsample=0.6)\nxgr.fit(X,Y)\n\nX_test=new_df.iloc[:,:].values\nX_test.shape\n#print (new_df.columns)\n\ny_output=xgr.predict(X_test)\ny_output\n\ntest_df['count'] = pd.Series(np.exp(y_output))\ntest_df = test_df.drop(['humidity', 'temp', 'season', 'holiday', 'workingday', 'weather', 'atemp', 'windspeed'], axis=1)\ntest_df.to_csv('sub1.csv', index=False)\n\n"}, {'role': 'assistant', 'content': "['modelling']"}]