[{'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:## Current submission\nfor row in dftest.itertuples():\n    if(row.ForecastId%100 == 0):\n        print(row.ForecastId)\n    if type(row.Province_State)!=str:\n        dfnow = dftrain[dftrain.Country_Region == row.Country_Region]\n    else:\n        dfnow = dftrain[dftrain.Country_Region == row.Country_Region][dftrain.Province_State == row.Province_State]\n    filterDate = dfnow["Date"].isin([row.Date])\n    if len(dfnow[filterDate].values) == 0:\n        growth = predict(row.Country_Region, row.Province_State)\n        pred = pred * growth\n        predfat = predfat * abs(growth - 0.1)\n    else:\n        pred = dfnow[filterDate]["ConfirmedCases"].values[0]\n        predfat = dfnow[filterDate]["Fatalities"].values[0]\n    dfsubmission.at[row.ForecastId-1, "ConfirmedCases"] = int(pred)\n    dfsubmission.at[row.ForecastId-1, "Fatalities"] = int(predfat)\ndfsubmission\ndfsubmission.to_csv(\'submission.csv\', index=False)  \n# end, the rest is experimental code\''}, {'role': 'assistant', 'content': 'modelling'}]