[{'role': 'system', 'content': "You are an expert in machine learning and your task is to classify the code snippets into categories from the provided list of categories. List of categories: ['helper_functions', 'load_data', 'data_exploration', 'data_preprocessing', 'evaluation', 'modelling', 'prediction', 'result_visualization', 'save_results', 'comment_only']"}, {'role': 'user', 'content': "Identify to which category the provided code belongs and assign the code snippet to at least 1 but up to 5 categories based on the probabilities, ignore if the probability of the category is negligible. Strictly provide your response as a list. Avoid providing any additional information, commentary, or personal opinions.\\nPython Code:#evaluation Details\nmodels = [logistic_regression, random_forest, decisionTreeModel, KNeighborsModel, \n            bernoulliNBModel, gaussianNBModel, XGB_Classifier]\n\nfor model in models:\n    print(type(model).__name__,' Train Score is   : ' ,model.score(X_train, y_train))\n    print(type(model).__name__,' Test Score is    : ' ,model.score(X_test, y_test))\n    \n    y_pred = model.predict(X_test)\n    print(type(model).__name__,' F1 Score is      : ' ,f1_score(y_test,y_pred))\n    print('--------------------------------------------------------------------------')"}, {'role': 'assistant', 'content': "['evaluation', 'prediction']"}]