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Updated: Jun 28, 2025

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
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提高商业房地产评估的准确性:一种可解释的机器学习方法

Juergen Deppner1, Benedict von Ahlefeldt-Dehn1, Eli Beracha2

  • 1University of Regensburg, IRE|BS International Real Estate Business School, Regensburg, Germany.

The journal of real estate finance and economics
|April 16, 2024
PubMed
概括

机器学习,特别是树木增长,可以通过减少市场价值和交易价格之间的偏差来改善美国商业房地产 (CRE) 估值. 这提高了评估准确性,并消除了跨物业类型的偏见.

关键词:
评估评价 评价 评价商业房地产 商业房地产可以解释的机器学习

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