Research and application of prediction model for returning home development population based on machine learning technology
With the development of the Chinese economy and the increasing pressure of living in first-tier cities,more and more young people choose to return to their hometowns for development.To efficiently serve users and improve their product usage experience,the use of algorithms such as LightGBM and CatBoost was proposed to predict the re-turning population,thereby providing a basis for services and products,and improving user market retention rates.
万方数据
维普
