Missing Value Filling Research Based on Ensemble Learning
Vol 7, Issue 3, 2024
VIEWS - 1843 (Abstract)
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.
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DOI: https://doi.org/10.18686/ijmss.v7i3.5058
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