A New Noisy Random Forest Based Method for Feature Selection

• Published in: Cybernetics and information technologies : CIT Vol. 21; no. 2; pp. 10 - 28
• Main Authors: Akhiat, Yassine, Manzali, Youness, Chahhou, Mohamed, Zinedine, Ahmed
• Format: Journal Article
• Language: English
• Published: Sofia Sciendo 01.06.2021; De Gruyter Poland
• Subjects: data mining; Feature selection; Geni impurity; random forest; variable importance

Feature selection is an essential pre-processing step in data mining. It aims at identifying the highly predictive feature subset out of a large set of candidate features. Several approaches for feature selection have been proposed in the literature. Random Forests (RF) are among the most used machi...