Performance Comparison of Recent Imputation Methods for Classification Tasks over Binary Data
This paper evaluates the effect on the predictive accuracy of different models of two recently proposed imputation methods, namely missForest (MF) and Multiple Imputation based on Expectation-Maximization (MIEM), along with two other imputation methods: Sequential Hot-deck and Multiple Imputation ba...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2017-01-01
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| Series: | Applied Artificial Intelligence |
| Online Access: | http://dx.doi.org/10.1080/08839514.2017.1279046 |