[{'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:'''\nFor these features I will refer to Part 2: Statistical Analysis, hypothesis 10 where I created a new column 'loan_acquired' and\nwith Anova testing I got a significant relationship.\nSo, I will preprocess these features according to that.\n'''\ndata['loan_acquired'] = data.apply(lambda x: x['Loan_Amount_Submitted'] * (1 + (x['Loan_Tenure_Submitted'] * x['Interest_Rate'])), axis=1)"}, {'role': 'assistant', 'content': "['data_preprocessing']"}]