AINeutralarXiv – CS AI · 8h ago5/10
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Ensemble Learning for Healthcare: A Comparative Analysis of Hybrid Voting and Ensemble Stacking in Obesity Risk Prediction
Researchers compared ensemble machine learning techniques for predicting obesity risk, finding that ensemble stacking with a neural network meta-classifier outperformed hybrid voting methods, particularly on complex datasets. The study evaluated nine ML algorithms across 50 hyperparameter configurations, demonstrating that stacking achieves superior accuracy (up to 98.98%) for healthcare predictive modeling.