Explainable housing price prediction with determinant analysis

Citation

Teoh, Ean Zou and Yau, Wei Chuen and Ong, Thian Song and Connie, Tee (2022) Explainable housing price prediction with determinant analysis. International Journal of Housing Markets and Analysis. ISSN 1753-8270

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Abstract

This study aims to develop a regression-based machine learning model to predict housing price, determine and interpret factors that contribute to housing prices using different data sets available publicly. The significant determinants that affect housing prices will be first identified by using multinomial logistics regression (MLR) based on the level of relative importance. A comprehensive study is then conducted by using SHapley Additive exPlanations (SHAP) analysis to examine the features that cause the major changes in housing prices.

Item Type: Article
Uncontrolled Keywords: Machine learning, House price prediction, regression model, SHAP analysis, multinomial logistic regression, determinant analysis, housing market analysis
Subjects: Q Science > Q Science (General) > Q300-390 Cybernetics
Divisions: Faculty of Information Science and Technology (FIST)
Depositing User: Ms Nurul Iqtiani Ahmad
Date Deposited: 20 Sep 2022 01:55
Last Modified: 20 Sep 2022 01:55
URII: http://shdl.mmu.edu.my/id/eprint/10446

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