[{'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:df.drop(["A MIDSUMMER NIGHT\'S DREAM ACT1596","ALLS WELL THAT ENDS WELL ACT1603", "AS YOU LIKE IT ACT1601",\n"CYMBELINE ACT1609","KING HENRY THE EIGHTH ACT1611","KING JOHN ACT1597","KING RICHARD III ACT1593",\n"KING RICHARD THE SECOND ACT1596", "LOVE\'S LABOUR\'S LOST ACT1595", "MEASURE FOR MEASURE ACT1605",\n"MUCH ADO ABOUT NOTHING ACT1599", "SECOND PART OF KING HENRY IV ACT1598", "THE COMEDY OF ERRORS ACT1593",\n"THE FIRST PART OF HENRY THE SIXTH ACT1592", "THE FIRST PART OF KING HENRY THE FOURTH ACT1598",\n"THE HISTORY OF TROILUS AND CRESSIDA ACT1602", "THE LIFE OF KING HENRY THE FIFTH ACT1599",\n"THE LIFE OF TIMON OF ATHENS ACT1608", "THE MERCHANT OF VENICE ACT1597", "THE MERRY WIVES OF WINDSOR ACT1601",\n"THE SECOND PART OF KING HENRY THE SIXTH ACT1591", "THE TAMING OF THE SHREW ACT1594", "THE TEMPEST ACT1612",\n"THE TRAGEDY OF ANTONY AND CLEOPATRA ACT1607", "THE TRAGEDY OF CORIOLANUS ACT1608",\n"THE TRAGEDY OF HAMLET, PRINCE OF DENMARK ACT1604","THE TRAGEDY OF JULIUS CAESAR ACT1599",\n"THE TRAGEDY OF KING LEAR ACT1606", "THE TRAGEDY OF MACBETH ACT1606",\n"THE TRAGEDY OF OTHELLO, MOOR OF VENICE ACT1605", "THE TRAGEDY OF ROMEO AND JULIET ACT1595",\n"THE TRAGEDY OF TITUS ANDRONICUS ACT1594", "THE TWO GENTLEMEN OF VERONA ACT1595", "THE WINTER\'S TALE ACT1611",\n"TWELFTH NIGHT; OR, WHAT YOU WILL ACT1602", "THE THIRD PART OF KING HENRY THE SIXTH ACT1591"], inplace = True)\ndf_2 = df[[\'numberUniqueWords\', \'averageSentenceLength\']]\ndf_3 = df[[\'numberUniqueWords\', \'averageSentenceLength\', \'numberOfPronoun\']]\ndf = df[[\'HapaxLegomena\', \'DisLegomena\', \'numberUniqueWords\',\n\'averageSentenceLength\', \'numberOfPronoun\', \'numberOfConjunction\', \'numberOfComma\', \'numberOfDots\',\n\'numberOfThe\', \'numberOfIn\', \'numberOfIs\']]'}, {'role': 'assistant', 'content': 'data_preprocessing'}]