训练和解释机器学习模型:在财产税评估中的应用

IF 0.6 Q4 BUSINESS, FINANCE Real Estate Management and Valuation Pub Date : 2022-03-01 DOI:10.2478/remav-2022-0002
Chan-Jae Lee
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引用次数: 2

摘要

摘要与机器学习方法的卓越性能相比,与它在各种商业部门的普及速度相比,它在工业中的采用似乎相对较慢。黑匣子类型模型(如基于机器学习的估值模型)的可解释性低是造成这种情况的原因之一。在这项研究中,使用神经网络(一种实现机器学习的代表性模型)估计了韩国首尔和全罗南道的房价,我们试图使用一种称为部分依赖图的可解释性工具来解释由此产生的价格估计。部分相关性分析表明,应设计局部优化的估价模型以提高估价准确性:首尔的土地导向模型和全罗南道的建筑导向模型。可解释的机器学习方法有望促进机器学习在行业中的应用,包括房地产估价。
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Training and Interpreting Machine Learning Models: Application in Property Tax Assessment
Abstract In contrast to the outstanding performance of the machine learning approach, its adoption in industry appears to be relatively slow compared to the speed of its proliferation in a variety of business sectors. The low interpretability of a black-box-type model, such as a machine learning-based valuation model, is one reason for this. In this study, house prices in Seoul and Jeollanam Province, South Korea, were estimated using a neural network, a representative model to implement machine learning, and we attempted to interpret the resultant price estimations using an interpretability tool called a partial dependence plot. Partial dependence analysis indicated that locally optimized valuation models should be designed to enhance valuation accuracy: a land-oriented model for Seoul and a building-focused model for the Jeollanam Province. The interpretable machine learning approach is expected to catalyze the adoption of machine learning in the industry, including property valuation.
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来源期刊
Real Estate Management and Valuation
Real Estate Management and Valuation Economics, Econometrics and Finance-Finance
CiteScore
1.50
自引率
25.00%
发文量
24
审稿时长
23 weeks
期刊介绍: Real Estate Management and Valuation (REMV) is a journal that publishes new theoretical and practical insights that improve our understanding in the field of real estate valuation, analysis and property management. The aim of the Polish Real Estate Scientific Society (Towarzystwo Naukowe Nieruchomości) is developing and disseminating knowledge about land management and the methods, techniques and principles of real estate valuation and the popularization of scientific achievements in this field, as well as their practical applications in the activities of economic entities.
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