[{'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:%matplotlib inline\nimport os\nimport numpy as np\nimport pandas as pd\nimport matplotlib.pyplot as plt\nimport seaborn as sns\nimport matplotlib\nfrom scipy import stats\nfrom scipy.stats import norm, skew\nfrom sklearn import preprocessing\nfrom sklearn.metrics import r2_score\nfrom sklearn.metrics import mean_squared_error\nfrom sklearn.model_selection import train_test_split\nfrom xgboost import XGBRegressor, plot_importance\nfrom sklearn.model_selection import RandomizedSearchCV\nfrom sklearn.model_selection import RepeatedStratifiedKFold\nfrom sklearn.model_selection import StratifiedKFold\nfrom sklearn.model_selection import KFold\n\nfor dirname, _, filenames in os.walk('/kaggle/input'):\n    for filename in filenames:\n        print(os.path.join(dirname, filename))"}, {'role': 'assistant', 'content': 'helper_functions'}]