[{'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:actionanditsdetail=pd.crosstab(age_gender.country_destination, age_gender.gender,margins=False)\nfrom scipy.stats import chi2_contingency \n\n# defining the table \n\nstat, p, dof, expected = chi2_contingency(actionanditsdetail) \n\n# interpret p-value \nalpha = 0.05\nprint("p value is " + str(p)) \nif p <= alpha: \n\\tprint(\'Dependent (reject H0)\') \nelse: \n\\tprint(\'Independent (H0 holds true)\')\n\''}, {'role': 'assistant', 'content': "['evaluation', 'prediction']"}]