Missing Value Filling Research Based on Ensemble Learning
Vol 7, Issue 3, 2024
VIEWS - 25 (Abstract) 28 (PDF)
Abstract
Stacking under different missing proportions, proving the superiority of ensemble learning algorithms in filling performance when multiple
feature values are missing. Then the missing value filling method of KNN+integrated learning is proposed to further improve the filling performance.
Keywords
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DOI: https://doi.org/10.18686/ijmss.v7i3.5058
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