As a country with a large population, China has a huge real estate market and consumption potential. Nowadays, due to various factors, the second-hand real estate industry began to occupy a large part of the real estate market. Although people buy houses for different reasons, but the price of second-hand housing is the common concern of consumers and developers. Forecasting the price of second-hand housing can not only provide a scientific basis for real estate developers to develop real estate and ordinary residents to buy houses, but also provide a reference for the government to formulate macro-control policies. Therefore, this paper combs the prediction model of second-hand house price and the purpose of purchasing house, hoping to do some research in this area.
House price forecast; Purpose of house purchase; Multi-linear regression model; Random forest model
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