Research on data kinetic energy measurement based on XGBoost algorithm

With the rapid development of Internet, data has become increasingly important in today’s society. With the widespread use of data, the issues in data use like low efficiency, high cost, lack of supervision might hinder the development of enterprises and companies. Therefore, the way to mine data resources as a new development power is extremely important. In this paper we applied the convolutional neural network in image for testing. We used LDA, XGBoost and other models, based on a large number of questionnaires questionnaire data. In the process of data processing, we fitted the 3D data after Emmett interpolation to make the data more intuitive. The analysis of the model shows that the fit of the regression curve, R², is 0.173 and Vif is less than 10, indicating that data has become an important driver of socioeconomic development, both from a macro and micro perspective.