[{'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:\n\nimport os\n#donnes\nprint(os.listdir("../input"))\n# Any results you write to the current directory are saved as output.\nimport pandas as pd\nimport numpy as np\n#random forest pour regressor\nfrom sklearn.ensemble import RandomForestRegressor\n#Pour le split feature et target\nfrom sklearn.model_selection import train_test_split\n#Pour regression au lieu de accuracy c\'est mean_square_error\nfrom sklearn.metrics import mean_squared_error\n#Ne pas afficher le warning lors du fit par exemple\n#Import pour la cross_validation\nfrom sklearn.model_selection  import cross_val_score\n#import random forest pour regression\nfrom sklearn.ensemble import RandomForestRegressor\nimport warnings\nwarnings.filterwarnings(\'ignore\')\''}, {'role': 'assistant', 'content': 'helper_functions'}]