A Quantitative Evaluation Framework for Missing Value Imputation Algorithms

CoRR, 2013.

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Abstract:

We consider the problem of quantitatively evaluating missing value imputation algorithms. Given a dataset with missing values and a choice of several imputation algorithms to fill them in, there is currently no principled way to rank the algorithms using a quantitative metric. We develop a framework based on treating imputation evaluati...More

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