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Automated valuation models: Improving model performance by choosing the optimal spatial training level
Krämer, Bastian, Stang, Moritz
, Doskoč, Vanja, Schäfers, Wolfgang and Friedrich, Tobias
(2023)
Automated valuation models: Improving model performance by choosing the optimal spatial training level.
Journal of Property Research 40 (4), pp. 365-390.
Date of publication of this fulltext: 11 Jun 2026 09:16
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| Item type | Article | ||||
| Journal or Publication Title | Journal of Property Research | ||||
| Publisher: | Taylor & Francis | ||||
|---|---|---|---|---|---|
| Volume: | 40 | ||||
| Number of Issue or Book Chapter: | 4 | ||||
| Page Range: | pp. 365-390 | ||||
| Date | 2023 | ||||
| Institutions | Business, Economics and Information Systems > Institut für Immobilienenwirtschaft / IRE|BS > Lehrstuhl für Immobilienmanagement (Prof. Dr. Wolfgang Schäfers) Business, Economics and Information Systems > Institut für Immobilienenwirtschaft / IRE|BS | ||||
| Identification Number |
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| Keywords | Automated Valuation Models (AVMs), machine learning, spatial training level, model performance, valuation accuracy | ||||
| Dewey Decimal Classification | 300 Social sciences > 330 Economics | ||||
| Status | Published | ||||
| Refereed | Yes, this version has been refereed | ||||
| Created at the University of Regensburg | Partially | ||||
| Item ID | 79584 |
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