Housing Rental Price Research In Main Urban Area Of Kunming Based On Random Forest Model

Nowadays,the real estate market supports the rapid development of China's national economy,and the housing rental market is an important part of the huge real estate market,which has a large market space.Up to now,there are few researches on housing rental prices in Kunming of China,so this study is helpful to make up for the research vacancy of housing rental prices in Kunming,and to provide reference opinions for the healthy development of the housing rental market in Kunming.This paper obtains more than 3000 rental information in the main urban area of Kunming from Fangtianxia website on the basis of web crawler.First of all,through text processing and the Adaptive Lasso variable selection,selecting seven indicators that mainly affect the housing rental price,namely whether housing district around the room,whether the traffic is convenient,near the subway,house type,area,shopping convenience and convenient life,then using price model and new characteristics of the data mining models such as Random Forest,Support Vector Machine(SVM)model respectively to research and analyze the main housing rental price in Kunming.And using ten fold cross validation method to evaluate the models and the Random Forest Model is evaluated the best,then the Random Forest Model is used to analyze the housing rental price in the main urban area of Kunming.The results show that the Random Forest Model is superior to the Multiple Linear Regression method.Empirical analysis show that the building area for the housing rental prices is the greatest factor,following by shopping condition,traffic condition,and the variable with the lowest impact is the type of house.Studying the housing rental price in the main urban area of Kunming,it can not only provide a reference for the participants of housing rental market in Kunming,but also can provide suggestions for the establishment of a standardized housing rental system and mechanism as well as the standardization of market rental behavior.In addition,it can also provide effective reference for the forming a complete,healthy,orderly operation of rental market,and for the real estate market and the development of urban planning in Kunming.