[{'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:def woe (data) :\ndata.columns = ['category', 'target']\npositive = pd.DataFrame(data[(data.target == 1)].groupby('category').count()).reset_index()\npositive.columns = ['category', 'broj_pozitivnih']\nnegative = pd.DataFrame(data[(data.target == 0)].groupby('category').count()).reset_index()\nnegative.columns = ['category', 'broj_negativnih']\nmerge_data = pd.merge(positive, negative, how = 'outer')\nmerge_data.fillna(0.0001, inplace = True)\nmerge_data.broj_pozitivnih.replace(0, 0.0001, inplace = True)\nmerge_data.broj_negativnih.replace(0, 0.0001, inplace = True)\nbroj_pozitivnih = merge_data['broj_pozitivnih'].sum()\nbroj_negativnih = merge_data['broj_negativnih'].sum()\nmerge_data['postotak_pozitivnih'] = merge_data['broj_pozitivnih'] / broj_pozitivnih\nmerge_data['postotak_negativnih'] = merge_data['broj_negativnih'] / broj_negativnih\nmerge_data['woe'] = np.log(merge_data['postotak_pozitivnih'] / merge_data['postotak_negativnih'])\nmerge_data['iv'] = (merge_data['postotak_pozitivnih'] - merge_data['postotak_negativnih']) * merge_data['woe']\nreturn merge_data"}, {'role': 'assistant', 'content': "['data_exploration', 'data_preprocessing']"}]