[{'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:def get_round_winners(game_slots, team_seeds, season='2017', known_winners = []):\nseed_list = []\nseason_list = []\nteam_list = []\nteam_1_list = []\nteam_2_list = []\nprob_list = []\nprob_label_list = []\nresult = []\ndef create_row(game):\nt1 = team_seeds[(team_seeds.Seed == game.Strongseed)].Team.iloc[0]\nt2 = team_seeds[(team_seeds.Seed == game.Weakseed)].Team.iloc[0]\nif(t1>t2):\nt1,t2 = t2, t1\nt1_name = teams[teams.Team_Id == t1].Team_Name.iloc[0]\nt2_name = teams[teams.Team_Id == t2].Team_Name.iloc[0]\nteam_1_list.append(t1_name + ' ('+ str(t1)+')')\nteam_2_list.append(t2_name + ' ('+ str(t2)+')')\nprob = probframe[(probframe.Team_1_id==str(t1)) & (probframe.Team_2_id==str(t2)) & (probframe.Season==season)].Pred.iloc[0]\nseed_list.append(game.Slot)\nseason_list.append(season)\nprob_list.append(prob)\nprob_label_list.append(season+'_'+str(t1)+'_'+str(t2))\nif(t1 in known_winners):\nwinner = t1\nresult.append(1)\nelif (t2 in known_winners):\nwinner  = t2\nresult.append(0)\nelse:\nwinner = t1 if prob>0.5 else t2\nresult.append(int(round(prob)))\nteam_list.append(winner)\nreturn winner\ngame_slots.apply(create_row, axis=1)\nreturn pd.DataFrame({'Season':season_list, 'Seed':seed_list, 'Team':team_list, 'Team 1':team_1_list, 'Team 2':team_2_list,'Probability':prob_list, 'Submission_Label':prob_label_list, 'Result':result},\ncolumns= ['Season','Seed','Team','Team 1','Team 2', 'Probability', 'Submission_Label','Result'])\nteams_dict2 = teams.set_index(['Team_Name']).to_dict()\nprint('First Four Predictions')\ndisplay(get_round_winners(tourney_slots_2017[tourney_slots_2017.Slot.str.match(r'^[XWYZ]')],\nt_seeds_2017[t_seeds_2017.Seed.str.match(r'.*[ab]$')],\nknown_winners= [teams_dict2['Team_Id'][x] for x in ['USC', 'Mt St Mary\\'s', 'Kansas St','UC Davis'] ]))"}, {'role': 'assistant', 'content': 'modelling'}]