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Applied Mathematics and Nonlinear Sciences
Volume 9 (2024): Issue 1 (January 2024)
Open Access
A Study of Accounting Teaching Feature Selection and Importance Assessment Based on Random Forest Algorithm
Jing Hu
Jing Hu
Department of Management Engineering, Anhui Industry Polytechnic
Tongling, China
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Hu, Jing
Sep 03, 2024
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.
