[{'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:trainPredict = model.predict(trainX)\ntestPredict = model.predict(testX)\ntrainPredictPlot = np.empty_like(data)\ntrainPredictPlot[:,:] = np.nan\ntrainPredictPlot[look_back:len(trainPredict)+look_back,:] = trainPredict\ntestPredictPlot = np.empty_like(data)\ntestPredictPlot[:,:] = np.nan\ntestPredictPlot[len(trainPredict)+(look_back*2)+1:len(data)-1, :] = testPredict\nplt.plot(data, label = 'Original Data')\nplt.plot(trainPredictPlot, label = 'Train Prediction')\nplt.plot(testPredictPlot,label = 'Test Prediction')\nplt.legend(['Data','Train Pred','Test Pred'])\nplt.show()"}, {'role': 'assistant', 'content': 'result_visualization'}]