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Application of Multiple Linear Regression with Regularization on Boston Housing Datasets

In: Proceedings of the 2024 2nd International Conference on Digital Economy and Management Science (CDEMS 2024)

Author

Listed:
  • Yuanwei Ding

    (Qingdao No.58 High School)

  • Hexing Zhou

    (Independent Schools Foundation Academy)

  • Chak Hoi Huang

    (British International Shanghai School)

  • Haoxiang Zhang

    (Eastern Christian High School)

Abstract

This paper first introduces the principle of multi-objective linear regression, and studies the Boston housing price data set with regularized multiple linear regression. Then this paper combines the knowledge of machine learning to build a prediction model. In the final forecast of the Boston house price, it was about 78 percent accurate compared to the real house price.

Suggested Citation

  • Yuanwei Ding & Hexing Zhou & Chak Hoi Huang & Haoxiang Zhang, 2024. "Application of Multiple Linear Regression with Regularization on Boston Housing Datasets," Advances in Economics, Business and Management Research, in: Junfeng Liao & Hongbo Li & Edward H. K. Ng (ed.), Proceedings of the 2024 2nd International Conference on Digital Economy and Management Science (CDEMS 2024), pages 14-26, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-488-4_3
    DOI: 10.2991/978-94-6463-488-4_3
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