[{'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:goodColumns = ['eventid', 'iyear', 'imonth', 'iday', 'country', 'region', 'latitude', 'longitude', 'summary', 'specificity', 'vicinity',\n'crit1', 'crit2', 'crit3', 'doubtterr', 'multiple', 'success', 'suicide', 'attacktype1', 'targtype1',\n'targsubtype1','natlty1', 'ingroup','guncertain1','weaptype1', 'weapsubtype1', 'weapdetail', 'addnotes',\n'scite1', 'scite2', 'scite3']\nfeatureCols = ['iyear', 'imonth', 'country', 'weaptype1']\nreadFeatureCols = []\nlabelCol = ['ingroup']\ndf = df.drop(df.columns.difference(featureCols+readFeatureCols+labelCol), axis=1)"}, {'role': 'assistant', 'content': "['data_preprocessing']"}]