[{'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:'''from sklearn.model_selection import GridSearchCV\n# Create the parameter grid based on the results of random search \nparam_grid = {\n    'bootstrap': [True],\n    'max_depth': [80, 90, 100, 110],\n    'max_features': [2, 3],\n    'min_samples_leaf': [3, 4, 5],\n    'min_samples_split': [8, 10, 12],\n    'n_estimators': [10, 100, 200]\n}\n# Create a based model\nrf = RandomForestRegressor()\n# Instantiate the grid search model\ngrid_search = GridSearchCV(estimator = rf, param_grid = param_grid, cv = 2, n_jobs = 3, verbose = 2)'''\n\n"}, {'role': 'assistant', 'content': 'modelling'}]