[{'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.neural_network import MLPClassifier\nfrom sklearn.model_selection import GridSearchCV\nparameters = {'solver': ['lbfgs','sgd'], 'max_iter': [1000,1100,1200,1300,1400,1500,1600,1700,1800,1900,2000 ], 'alpha': 10.0 ** -np.arange(1, 10), 'hidden_layer_sizes':np.arange(10, 15), 'random_state':[0,1,2,3,4,5,6,7,8,9]}\nmlpgridsearch = GridSearchCV(MLPClassifier(), parameters, n_jobs=-1)\nmlpgridsearch.fit(X_train,y_train)\npredsgridmlp = mlpgridsearch.predict(X_test1)\nfrom sklearn import metrics\nprint(classification_report(y_test1, predsgridmlp, target_names=target_names))"}, {'role': 'assistant', 'content': 'modelling'}]