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

Publicado en línea: 03 sept 2024

Recibido: 15 abr 2024

Aceptado: 26 jul 2024

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

Palabras clave

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.