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A Study of Accounting Teaching Feature Selection and Importance Assessment Based on Random Forest Algorithm

Sep 03, 2024

A Study of Accounting Teaching Feature Selection and Importance Assessment Based on Random Forest Algorithm's Cover Image

Applied Mathematics and Nonlinear Sciences

Volume 9 (2024): Issue 1 (January 2024)

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Published Online: Sep 03, 2024

Received: Apr 15, 2024

Accepted: Jul 26, 2024

DOI: https://doi.org/10.2478/amns-2024-2540

Keywords
Behavioral data, Random forest, Feature selection, Gini index, Learning effect prediction, Accounting teaching

© 2024 Jing Hu., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Hu, Jing

Department of Management Engineering, Anhui Industry PolytechnicTongling, China

Language:: English

Publication timeframe:: 1 times per year
Journal Subjects:: Life Sciences, Life Sciences, other, Mathematics, Applied Mathematics, General Mathematics, Physics, Physics, other

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