Stacking ensemble matches or exceeds hybrid voting methods in accuracy and F1-score for obesity risk prediction, with stronger results on complex data.
In: Recent Findings in Intelligent Computing Techniques: Proceedings of the 5th ICACNI 2017, Volume 2, pp
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Ensemble Learning for Healthcare: A Comparative Analysis of Hybrid Voting and Ensemble Stacking in Obesity Risk Prediction
Stacking ensemble matches or exceeds hybrid voting methods in accuracy and F1-score for obesity risk prediction, with stronger results on complex data.