Feature selection in multi-output classification using recursive feature elimination: a case study on medical data

ТАТУ хабарлари · 2024-yil

Annotatsiya

This study investigates the use of Recursive Feature Elimination (RFE) for feature selection in multi-output classification, particularly with a medical dataset.The classification task requires predicting several related binary outcomes simultaneously, making feature selection vital for reducing dimensionality and enhancing model performance.RFE is applied to each target variable, and common features across all targets are identified to refine the feature set while preserving prediction accuracy.A RandomForestClassifier, paired with a MultiOutputClassifier, is used to assess the predictive power of the selected features.The results indicate that RFE improves classification efficiency by removing redundant and irrelevant features, resulting in a model that is both more interpretable and computationally efficient.This method shows potential for optimizing multi-output medical classification tasks, providing advantages in healthcare data analysis.

Maqola ma’lumotlari
JurnalТАТУ хабарлари
NashriyotТошкент ахборот технологиялари университети
ISSN2010-9857, 2181-1083
Nashr sanasi2024-06-01
TilIngliz
Ilmiy sohaTexnika
DOI10.61663/242tuitmct5
Indeksga qo‘shilgan2026-09-02

DOI: 10.61663/242tuitmct5 · Maqolaning asl sahifasi

Ilmiy soha

Texnika

Iqtibos keltirish

APANoma’lum muallif (2024). FEATURE SELECTION IN MULTI-OUTPUT CLASSIFICATION USING RECURSIVE FEATURE ELIMINATION: A CASE STUDY ON MEDICAL DATA. ТАТУ хабарлари. https://doi.org/10.61663/242tuitmct5
GOST (OAK)Noma’lum muallif FEATURE SELECTION IN MULTI-OUTPUT CLASSIFICATION USING RECURSIVE FEATURE ELIMINATION: A CASE STUDY ON MEDICAL DATA // ТАТУ хабарлари. – 2024. – DOI: 10.61663/242tuitmct5.
MLANoma’lum muallif. “FEATURE SELECTION IN MULTI-OUTPUT CLASSIFICATION USING RECURSIVE FEATURE ELIMINATION: A CASE STUDY ON MEDICAL DATA.” ТАТУ хабарлари, 2024. https://doi.org/10.61663/242tuitmct5
ChicagoNoma’lum muallif. “FEATURE SELECTION IN MULTI-OUTPUT CLASSIFICATION USING RECURSIVE FEATURE ELIMINATION: A CASE STUDY ON MEDICAL DATA.” ТАТУ хабарлари (2024). https://doi.org/10.61663/242tuitmct5
HarvardNoma’lum muallif (2024) ‘FEATURE SELECTION IN MULTI-OUTPUT CLASSIFICATION USING RECURSIVE FEATURE ELIMINATION: A CASE STUDY ON MEDICAL DATA’, ТАТУ хабарлари. https://doi.org/10.61663/242tuitmct5
BibTeX
@article{article2024,
  title = {FEATURE SELECTION IN MULTI-OUTPUT CLASSIFICATION USING RECURSIVE FEATURE ELIMINATION: A CASE STUDY ON MEDICAL DATA},
  author = {Unknown},
  journal = {ТАТУ хабарлари},
  year = {2024},
  doi = {10.61663/242tuitmct5},
  url = {https://doi.org/10.61663/242tuitmct5}
}

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