[{'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 pandas as pd\nimport numpy as np\nimport matplotlib.pyplot as plt\nfrom matplotlib import rcParams\nimport seaborn as sb\nfrom collections import Counter\nimport warnings\nwarnings.filterwarnings("ignore")\n\nfrom sklearn.linear_model import LogisticRegression\nfrom sklearn.svm import SVC\nfrom sklearn.tree import DecisionTreeClassifier\nfrom sklearn.ensemble import RandomForestClassifier,GradientBoostingClassifier,VotingClassifier\nfrom sklearn.naive_bayes import GaussianNB,MultinomialNB\nfrom sklearn.neighbors import KNeighborsClassifier\nfrom sklearn.neural_network import MLPClassifier\nfrom xgboost import XGBClassifier\nfrom sklearn.linear_model import SGDClassifier\nfrom sklearn.naive_bayes import BernoulliNB\nfrom xgboost import XGBClassifier\nfrom sklearn.preprocessing import LabelEncoder,normalize,MinMaxScaler\nfrom sklearn.metrics import f1_score\nfrom sklearn.model_selection import train_test_split,cross_val_score\nfrom sklearn.metrics import confusion_matrix,roc_auc_score,roc_curve\nimport seaborn as sns'}, {'role': 'assistant', 'content': 'helper_functions'}]