[{'role': 'system', 'content': "You are an expert in machine learning and your task is to classify code snippets into one of the following categories: ['helper_functions', 'load_data', 'data_exploration', 'data_preprocessing', 'evaluation', 'modelling', 'prediction', 'result_visualization', 'save_results', 'comment_only']."}, {'role': 'user', 'content': "Identify the single most appropriate category to which the provided code belongs. Provide your response as a single category label without any additional information, commentary, or personal opinions.\\nPython Code:#Drop Repetitive Columns\nnum_rows = df.shape[0]\nrep_cols = []\n\nfor col in df.loc[:, df.columns != 'loss'].columns :\n    cnts = df[col].value_counts()\n    top_pct = (cnts/num_rows).iloc[0]\n    \n    if top_pct > 0.80:\n        rep_cols.append([col,top_pct])\n        \nrep_col_df = pd.DataFrame(rep_cols, columns = ['column_name','% top repetitve value']).sort_values(by = '% top repetitve value', ascending = False).reset_index(drop=True)\nrep_col_df\n\ndf.shape"}, {'role': 'assistant', 'content': 'data_preprocessing'}]