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Applying a CART-based approach for the diagnostics of mass appraisal models

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  • Antipov, Evgeny
  • Pokryshevskaya, Elena

Abstract

In this paper an approach for automatic detection of segments where a regression 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. The proposed approach may be useful for various regression analysis applications, especially those with strong heteroscedasticity. It helps to reveal segments for which separate models or appraiser assistance are desirable. The segmentational approach has been applied to a mass appraisal model based on the Random Forest algorithm.

Suggested Citation

  • Antipov, Evgeny & Pokryshevskaya, Elena, 2010. "Applying a CART-based approach for the diagnostics of mass appraisal models," MPRA Paper 27646, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:27646
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    References listed on IDEAS

    as
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    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    CART; model diagnostics; mass appraisal; real estate; Random forest; heteroscedasticity;
    All these keywords.

    JEL classification:

    • C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics
    • L85 - Industrial Organization - - Industry Studies: Services - - - Real Estate Services
    • C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics

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