[{'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:df4["daycas"]="cas0"\ndf4["daycas"].loc[df4["hours"]<=6.5]="cas1"\ndf4["daycas"].loc[(df4["hours"]>6.5) & (df4["hours"]<=7.5)]="cas2"\ndf4["daycas"].loc[(df4["hours"]>7.5) & (df4["hours"]<=8.5)]="cas3"\ndf4["daycas"].loc[(df4["hours"]>8.5) & (df4["hours"]<=9.5)]="cas4"\ndf4["daycas"].loc[(df4["hours"]>9.5) & (df4["hours"]<=10.5)]="cas5"\ndf4["daycas"].loc[(df4["hours"]>10.5) & (df4["hours"]<=19.5)]="cas6"\ndf4["daycas"].loc[(df4["hours"]>19.5) & (df4["hours"]<=21.5)]="cas7"\ndf4["daycas"].loc[df4["hours"]>21.5]="cas8"'}, {'role': 'assistant', 'content': "['data_preprocessing']"}]