Mass appraisal of residential apartments: An application of Random forest for valuation and a CART-based approach for model diagnostics
To the best knowledge of authors, the use of Random forest as a potential technique for residential estate mass appraisal has been attempted for the first time. In the empirical study using data on residential apartments the method performed better than such techniques as CHAID, CART, KNN, multiple regression analysis, Artificial Neural Networks (MLP and RBF) and Boosted Trees. An approach for automatic detection of segments where a model significantly underperforms and for detecting segments with systematically under- or overestimated prediction is introduced. This segmentational approach is applicable to various expert systems including, but not limited to, those used for the mass appraisal.
|Date of creation:||29 Jul 2010|
|Date of revision:|
|Contact details of provider:|| Postal: Ludwigstraße 33, D-80539 Munich, Germany|
Web page: https://mpra.ub.uni-muenchen.de
More information through EDIRC
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Carlo Bagnoli & Halbert C. Smith, 1998. "The Theory of Fuzzy Logic and its Application to Real Estate Valuation," Journal of Real Estate Research, American Real Estate Society, vol. 16(2), pages 169-200.
- George H. Lentz & Ko Wang, 1998. "Residential Appraisal and the Lending Process: A Survey of Issues," Journal of Real Estate Research, American Real Estate Society, vol. 15(1), pages 11-40.
- Nghiep Nguyen & Al Cripps, 2001. "Predicting Housing Value: A Comparison of Multiple Regression Analysis and Artificial Neural Networks," Journal of Real Estate Research, American Real Estate Society, vol. 22(3), pages 313-336.
- Elaine M. Worzala & Margarita Lenk & Ana Silva, 1995. "An Exploration of Neural Networks and Its Application to Real Estate Valuation," Journal of Real Estate Research, American Real Estate Society, vol. 10(2), pages 185-202.
- Han-Bin Kang & Alan K. Reichert, 1991. "An Empirical Analysis of Hedonic Regression and Grid-Adjustment Techniques in Real Estate Appraisal," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 19(1), pages 70-91.
- A. Prinzie & D. Van Den Poel, 2007. "Random Forrests for Multiclass classification: Random Multinomial Logit," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 07/435, Ghent University, Faculty of Economics and Business Administration.
- Okmyung Bin & Carlos Martins-Filho, .
"Estimation of Hedonic Price Functions via Additive Nonparametric Regression,"
0116, East Carolina University, Department of Economics.
- Carlos Martins-Filho & Okmyung Bin, 2005. "Estimation of hedonic price functions via additive nonparametric regression," Empirical Economics, Springer, vol. 30(1), pages 93-114, January.
- Young-Lung Lee & Chang Jung & Yih Yeh Kuang, 2003. "Fair Evaluation of real Estate Value in Urban Area via Fuzzy Theory," ERES eres2003_198, European Real Estate Society (ERES).
- Laakso, Seppo, . "Urban Housing Prices and the Demand for Housing Characteristics. A Study on Housing Prices and the Willingness to pay for Housing Characteristics and Local Public Goods in the Helsinki Metropolitan Ar," ETLA A, The Research Institute of the Finnish Economy, number 27, 04.
When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:27645. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Joachim Winter)
If references are entirely missing, you can add them using this form.