An adaptive ensemble feature selection technique for model-agnostic diabetes prediction

An adaptive ensemble feature selection technique for model-agnostic diabetes prediction

Abstract Ensemble learning aggregates several models’ outputs to improve the overall model’s performance. Ensemble feature selection separating the appropriate features from the extra and non-essential features. In this paper, the main focus will be to expand the scope of Ensemble Learning to includ...

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Bibliographic Details
Main Authors: K. Natarajan, Dhanalakshmi Baskaran, Selvakumar Kamalanathan
Format: Article
Language:English
Published: Nature Portfolio 2025-02-01
Series:Scientific Reports
Subjects:
Ensemble learning
Feature selection
Diabetes prediction
Multi-method
Model-agnostic
Online Access:https://doi.org/10.1038/s41598-025-91282-8

Internet

https://doi.org/10.1038/s41598-025-91282-8

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