[{'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:space_RF ={<br>    \'n_estimators\'           : hp.choice(\'n_estimators\',         np.arange(10, 200,  dtype=int)),       <br>    \'max_depth\'              : hp.choice("max_depth",            np.arange(3, 15,    dtype=int)),<br>    \'min_samples_split\'      : hp.choice("min_samples_split",    np.arange(20, 100,    dtype=int)),<br>    \'min_samples_leaf\'       : hp.choice("min_samples_leaf",    np.arange(10, 100,    dtype=int)),<br>    \'criterion\'              : hp.choice(\'criterion\', ["gini", "entropy"]),<br>    \'class_weight\'           : hp.choice(\'class_weight\', [\'balanced_subsample\', None]),<br>    \'n_jobs\'                 : -1,<br>    \'oob_score\'              : True,<br>    \'random_state\'           :  hp.randint(\'random_state\',2000000)<br>   }<br>#{\'class_weight\': 1, \'criterion\': 1, \'max_depth\': 9, \'min_samples_leaf\': 74, \'min_samples_split\': 12, \'n_estimators\': 134, \'random_state\': 1433254}<br>#Params: class_weight=balanced_subsample criterion=entropy max_depth=11 min_samples_leaf=2 min_samples_split=29 n_estimators=89 n_jobs=-1 oob_score=True<br>#Params: class_weight=balanced_subsample criterion=entropy max_depth=10 min_samples_leaf=2 min_samples_split=17 n_estimators=38 n_jobs=-1 oob_score=True'}, {'role': 'assistant', 'content': "['modelling']"}]