A Hybrid Intersection Filtering and Recursive Feature Elimination Technique for Efficient Feature Reduction in High Dimensional Datasets

High-dimensional datasets are commonly encountered in real-world machine learning applications and often degrade classification performance due to redundant and irrelevant features. In addition, the presence of excessive features increases computational complexity and processing time. Feature select...

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Autori principali:	Akhmad Dahlan, Yoga Pristyanto, Anggit Ferdita Nugraha, Rifda Faticha Alfa Aziza, Ibnu Hadi Purwanto
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Ikatan Ahli Informatika Indonesia 2026-04-01
Serie:	Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Soggetti:	classification feature selection intersection filter machine learning rfecv
Accesso online:	https://jurnal.iaii.or.id/index.php/RESTI/article/view/7396
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