[{'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:#n_estimators_dist= np.random.randint(1, 500)# number of trees, could use a discrete list or np.random.exponential(scale=0.1, size= 100)\n#colsample_bytree_dist= np.random.uniform(0.2,0.6) # should be 0.3 - 0.5\n#max_depth_dist = np.random.randint(2, 12) # typical values 3 - 10\n#learning_rate_dist= np.random.uniform(0.01, 0.3) # default 0.3, typical values 0.01 - 0.2\n\n#learning_rate_dist= scipy.stats.expon(scale=100)\n#learning_rate_dist= 10. ** np.arange(-3, -2)\nn_estimators_dist= sps.randint(1, 300)\nlearning_rate_dist = [0.01, 0.02, 0.05, 0.1, 0.2, 0.3]'}, {'role': 'assistant', 'content': 'modelling'}]