Proceedings of the 3rd International Conference on Public Management and Big Data Analysis, PMBDA 2023, December 15–17, 2023, Nanjing, China

Research Article

The Prediction on Specific Datasets Using Linear Regression with Regularization and Linear Regression with Gradient Descent

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  • @INPROCEEDINGS{10.4108/eai.15-12-2023.2345298,
        author={Yichen  Ma and Xinyue  Li and Botao  Cai},
        title={The Prediction on Specific Datasets Using Linear Regression with Regularization and Linear Regression with Gradient Descent},
        proceedings={Proceedings of the 3rd International Conference on Public Management and Big Data Analysis, PMBDA 2023, December 15--17, 2023, Nanjing, China},
        publisher={EAI},
        proceedings_a={PMBDA},
        year={2024},
        month={5},
        keywords={linear regression gradient descent norm mean squared error},
        doi={10.4108/eai.15-12-2023.2345298}
    }
    
  • Yichen Ma
    Xinyue Li
    Botao Cai
    Year: 2024
    The Prediction on Specific Datasets Using Linear Regression with Regularization and Linear Regression with Gradient Descent
    PMBDA
    EAI
    DOI: 10.4108/eai.15-12-2023.2345298
Yichen Ma1,*, Xinyue Li2, Botao Cai3
  • 1: Macau University of Science and Technology
  • 2: Nanjing Foreign Language School Yuhua International Academy
  • 3: Nanjing Foreign Language School Xianlin Campus
*Contact email: 2543667553@qq.com

Abstract

This article mainly discusses the methods of predicting specific datasets using linear regression with regularization and linear regression with gradient descent. Firstly, the basic principles and mathematical models of these two methods are introduced in detail. Then, through case studies, the authors demonstrate how to apply these two methods for prediction in real-world problems. Finally, the article discusses the advantages and disadvantages of these two methods and how to choose the appropriate method in practical applications.