Exploring The Efficiency of Metaheuristics in Optimal Hyperparameter Tuning for Ensemble Models on Varied Data Modalities

BC, Vivek (2024) Exploring The Efficiency of Metaheuristics in Optimal Hyperparameter Tuning for Ensemble Models on Varied Data Modalities. EAI Endorsed Transactions on Intelligent Systems and Machine Learning.

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Abstract

Effective disease detection systems play an important role in healthcare by supporting diagnosis and treatment. This study provides a comparison of hyperparameter tuning methods for disease detection systems using four health datasets; kidney disease, diabetes detection, heart disease and breast can

Item Type: Article
Date Deposited: 04 Mar 2026 18:10
Last Modified: 11 Apr 2026 00:35
URI: http://eprints.eai.eu/id/eprint/51439

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