Missing Data Imputation for Classification Problems

25 Feb 2020Arkopal ChoudhuryMichael R. Kosorok

Imputation of missing data is a common application in various classification problems where the feature training matrix has missingness. A widely used solution to this imputation problem is based on the lazy learning technique, $k$-nearest neighbor (kNN) approach... (read more)

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