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Found 2 papers, 1 papers with code
MINTY: Rule-based Models that Minimize the Need for Imputing Features with Missing Values
Rule models are often preferred in prediction tasks with tabular inputs as they can be easily interpreted using natural language and provide predictive performance on par with more complex models.
Sharing pattern submodels for prediction with missing values
Conversely, fitting a single shared model to the full data set relies on imputation which often leads to biased results when missingness depends on unobserved factors.
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