[{'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:# #LDA (13)\n# from sklearn.discriminant_analysis import LinearDiscriminantAnalysis\n\n# LDA_clf = LinearDiscriminantAnalysis().fit(train_normalized,train_labels)\n\n# LDA_clf.fit(train_normalized,train_labels)\n\n# trainpred=LDA_clf.predict(train_normalized)\n# testpred=LDA_clf.predict(test_normalized)\n\n# print(metrics.accuracy_score(train_labels, trainpred))\n\n# # #LDA_acc = cross_val_score(LDA_clf, train_normalized, train_labels, cv=10, scoring='accuracy')\n\n# # print(LDA_acc)\n# # print(np.mean(LDA_acc))\n\n# # resultLDA = LDA_clf.predict(test_normalized)"}, {'role': 'assistant', 'content': 'helper_functions'}]