Effects of attribute reducing on real-estate valuation

Authors:
Bahar Bulut;Novruz Allahverdi;Şükran Yalpir;Humar Kahramanli
Affiliations:
-;-;-;-
Venue:
MMES'10 Proceedings of the 2010 international conference on Mathematical models for engineering science
Year:
2010

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Abstract

In this study, the effects of attribute reducing on real-estate valuation were investigated. Correlation was used for attribute reducing. To test the success of method, real-estate data which were collected from Konya region were used. The database consists of 190 data. 130 of them were used for training and 60 of them were used for testing. At the beginning, the number of attributes was 14. After attribute reducing, the number of attributes was reduced to 9. With these attributes, a new model was created. As a result of statistical calculations, it was found that the prediction success of method which is created with reduced attributes is higher than the prediction success of method which is created with all attributes.