[{'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:preLR = dfFirstPostWoe[goodColumns]\ny = preLR[badFlag].values\npreLRvar = preLR.drop(badFlag,axis=1)\nX = preLRvar.values\nclmn = list(preLRvar.columns)\nfi = sf.featureImportance(X,y,clmn)\nX_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.33)\nlr = LogisticRegression(C=0.1)\nlr.fit(X_train,y_train)\npr_test = lr.predict_proba(X_test)[:,1]\npr_train = lr.predict_proba(X_train)[:,1]\nprint(\'-\'*60)\nprint("train:")\nsf.rocCurve(y_train,pr_train)\nprint(\'-\'*60)\nprint("test:")\nsf.rocCurve(y_test,pr_test)'}, {'role': 'assistant', 'content': "['evaluation', 'modelling', 'prediction']"}]