[{'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:submission = pd.DataFrame(columns=['Id','Prediction'])\nsubmission['Id'] = test_df['Id']\n\nridge_pred = ridge_model.predict(test_df.drop('Id', axis=1))\nsubmission['Prediction'] = np.expm1(ridge_pred)\nsubmission.to_csv('submission_ridge.csv',index=False)\n\nlasso_pred = lasso_model.predict(test_df.drop('Id', axis=1))\nsubmission['Prediction'] = np.expm1(lasso_pred)\nsubmission.to_csv('submission_lasso.csv',index=False)\n\nelastic_pred = el_model.predict(test_df.drop('Id', axis=1))\nsubmission['Prediction'] = np.expm1(elastic_pred)\nsubmission.to_csv('submission_elastic.csv',index=False)\n\nknn_pred = knn_model.predict(test_df.drop('Id', axis=1))\nsubmission['Prediction'] = np.expm1(knn_pred)\nsubmission.to_csv('submission_knn.csv',index=False)\n\nrf_pred = rf_model.predict(test_df.drop('Id', axis=1))\nsubmission['Prediction'] = np.expm1(rf_pred)\nsubmission.to_csv('submission_rf.csv',index=False)\n\nlgb_pred = lgb_model.predict(test_df.drop('Id', axis=1))\nsubmission['Prediction'] = np.expm1(lgb_pred)\nsubmission.to_csv('submission_lgb.csv',index=False)\n\nxgb_pred = xgb_model.predict(test_df.drop('Id', axis=1))\nsubmission['Prediction'] = np.expm1(xgb_pred)\nsubmission.to_csv('submission_xgb.csv',index=False)\n\nstack_pred1 = stack1.predict(test_df.drop('Id', axis=1))\nsubmission['Prediction'] = np.expm1(stack_pred1)\nsubmission.to_csv('submission_stack1.csv',index=False)\n\nstack_pred2 = stack2.predict(test_df.drop('Id', axis=1))\nsubmission['Prediction'] = np.expm1(stack_pred2)\nsubmission.to_csv('submission_stack2.csv',index=False)"}, {'role': 'assistant', 'content': 'save_results'}]