[{'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:#RandomForest params<br>rf_params = {}<br>rf_params[\'n_estimators\'] = 80<br>rf_params[\'max_depth\'] = 12<br>rf_params[\'min_samples_split\'] = 50<br>rf_params[\'min_samples_leaf\'] = 23<br>#rf_params[\'class_weight\'] = "balanced_subsample"# "balanced" # "balanced_subsample"<br>#rf_params[\'criterion\'] = 1<br>#{\'class_weight\': 1, \'criterion\': 1, \'max_depth\': 10, \'min_samples_leaf\': 23, \'min_samples_split\': 88, \'n_estimators\': 66, \'random_state\': 584867}<br>#{\'class_weight\': 0, \'criterion\': 1, \'max_depth\': 3, \'min_samples_leaf\': 1, \'min_samples_split\': 15, \'n_estimators\': 31}<br>#{\'class_weight\': 1, \'criterion\': 1, \'max_depth\': 7, \'min_samples_leaf\': 1, \'min_samples_split\': 25, \'n_estimators\': 52}'}, {'role': 'assistant', 'content': 'modelling'}]