[{'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:te = TargetEncodingExpandingMean(columns_names=new_col4train)\n\nX_tr = te.fit_transform(train[new_col4train], y)\nX_val = te.transform(test[new_col4train])\n\nte2 = TargetEncodingSmoothing(\n    columns_names= new_col4train,\n    k = 3, f = 1.5,\n)\n\nX_tr2 = get_CV_target_encoding(train[new_col4train], y, te2, cv = 5)\nte2.fit(train[new_col4train], y)\nX_val2 = te2.transform(test[new_col4train])\n\nX = pd.concat([X_tr, X_tr2], axis = 1)\nX_te = pd.concat([X_val, X_val2], axis = 1)\n\nmodel = get_model()\nmodel.fit(X,y)\npredictions = model.predict_proba(X_te)[:,1]\n\nsubmit = pd.DataFrame()\nsubmit["Id"] = test["id"]\nsubmit["ACTION"] = predictions\n\nsubmit.to_csv("submission.csv", index = False)'}, {'role': 'assistant', 'content': "['modelling']"}]