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Cybernetics and Information Technologies
Volume 21 (2021): Issue 2 (June 2021)
Open Access
A New Noisy Random Forest Based Method for Feature Selection
Yassine Akhiat
Yassine Akhiat
,
Youness Manzali
Youness Manzali
,
Mohamed Chahhou
Mohamed Chahhou
and
Ahmed Zinedine
Ahmed Zinedine
| Jul 01, 2021
Cybernetics and Information Technologies
Volume 21 (2021): Issue 2 (June 2021)
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Published Online:
Jul 01, 2021
Page range:
10 - 28
Received:
Aug 27, 2020
Accepted:
Feb 22, 2021
DOI:
https://doi.org/10.2478/cait-2021-0016
Keywords
Feature selection
,
data mining
,
random forest
,
Geni impurity
,
variable importance
© 2021 Yassine Akhiat et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Yassine Akhiat
Faculty of Sciences, USMBA
Fez, Morocco
Youness Manzali
Faculty of Sciences, USMBA
Fez, Morocco
Mohamed Chahhou
Faculty of Sciences, UAE
Tetouan, Morocco
Ahmed Zinedine
Faculty of Sciences, USMBA
Fez, Morocco