Research on Optimization of Machine Learning Algorithm Based on Feature Selection

Lei Yang, Yungui Chen, Longqing Zhang

2023

Abstract

Feature selection, as a method of machine learning algorithm optimization, aims to improve the performance and efficiency of the algorithm by selecting important features. This research selects 3 A-share stocks of China’s Shanghai Stock Exchange as the research object and proposes a prediction model based on feature selection decision tree optimization algorithm, which is used to predict the closing price of the stock. Our research results show that the optimized Models can improve the performance of predictions.

Paper Citation

in Harvard Style

Yang L., Chen Y. and Zhang L. (2023). Research on Optimization of Machine Learning Algorithm Based on Feature Selection. In Proceedings of the 2nd International Seminar on Artificial Intelligence, Networking and Information Technology - Volume 1: ANIT; ISBN 978-989-758-677-4, SciTePress, pages 100-103. DOI: 10.5220/0012275300003807

in Bibtex Style

@conference{anit23,
author={Lei Yang and Yungui Chen and Longqing Zhang},
title={Research on Optimization of Machine Learning Algorithm Based on Feature Selection},
booktitle={Proceedings of the 2nd International Seminar on Artificial Intelligence, Networking and Information Technology - Volume 1: ANIT},
year={2023},
pages={100-103},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012275300003807},
isbn={978-989-758-677-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Seminar on Artificial Intelligence, Networking and Information Technology - Volume 1: ANIT
TI - Research on Optimization of Machine Learning Algorithm Based on Feature Selection
SN - 978-989-758-677-4
AU - Yang L.
AU - Chen Y.
AU - Zhang L.
PY - 2023
SP - 100
EP - 103
DO - 10.5220/0012275300003807
PB - SciTePress