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

Pubblicato online: 03 set 2024

Ricevuto: 15 apr 2024

Accettato: 26 lug 2024

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

Parole chiave

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.