[{'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:import numpy as np\nimport pandas as pd\nfrom sklearn.feature_extraction.text import CountVectorizer\nfrom sklearn.preprocessing import LabelEncoder\nfrom sklearn.model_selection import StratifiedKFold\nimport random\nfrom math import exp\nimport xgboost as xgb\nfrom sklearn.ensemble import RandomForestClassifier\nfrom sklearn.model_selection import train_test_split\nfrom sklearn.metrics import log_loss\nfrom collections import defaultdict, Counter\n\n\nrandom.seed(4321)\nnp.random.seed(4321)\n\ntrain_df = pd.read_json("../input/train.json")\ntest_df = pd.read_json("../input/test.json")\ntrain_test = pd.concat([train_df, test_df], 0)\n'}, {'role': 'assistant', 'content': 'load_data'}]