Second-Hand Housing Market Research Based on Random Forest Algorithm
Abstract
The research on second-hand houses mainly faces the following problem. what are the factors that affect the price of second-hand houses? Focusing on the problem of second-hand houses, based on data mining and data analysis, and with the help of software such as Stata, this paper establishes the random forest model, and explains the factors that affect the price of second-hand houses. Through the prediction of the random forest model, this paper concludes that the factors affecting the price of second-hand houses are ranked as follows: the number of primary and secondary schools > the age of the house > the building area > the number of supermarkets > the number of scenic spots > the number of subways > the degree of decoration > the number of bedrooms, and gives some suggestions to people buying second-hand hourses.
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DOI: http://dx.doi.org/10.18686/fm.v8i2.6775
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