Does imputation matter? Benchmark for predictive models

R-miss-tastic: a unified platform for missing values methods and workflows

Original

I. Mayer, J. Josse, N. Tierney, and N. Vialaneix · 1908

Earlier work this paper cites.

Inference and Missing Data

D. B. Rubin · 1976

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Towards better understanding of meta-features contributions

Original

K. Woźnica and P. Biecek · 2002

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Data mining and the impact of missing data

M. L. Brown and J. F. Kros · 2003

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Amelia II: A program for missing data

J. Honaker, G. King, and M. Blackwell · 2011

Cited alongside, same era.

A missing variable imputation methodology with an empirical application

G. Kyureghian, O. Capps, and R. M. Nayga · 2011

Cited alongside, same era.

mice: Multivariate imputation by chained equations in R

S. van Buuren and K. Groothuis-Oudshoorn · 2011

Cited alongside, same era.

Matrix Completion and Low-Rank SVD via Fast Alternating Least Squares

T. Hastie, R. Mazumder, J. D. Lee, and R. Zadeh · 2014

Cited alongside, same era.

An Efficient Approach for Assessing Hyperparameter Importance

F. Hutter, H. Hoos, and K. Leyton-Brown

Cited in the paper.

MissForest-nonparametric missing value imputation for mixed-type data

D. J. Stekhoven and P. Bühlmann

Cited in the paper.

missMDA: A package for handling missing values in multivariate data analysis

J. Josse and F. Husson · 2016

Later among the works it cites.

Imputation with the R Package VIM

A. Kowarik and M. Templ · 2016

Later among the works it cites.

OpenML Benchmarking Suites

Original

B. Bischl, G. Casalicchio, M. Feurer, F. Hutter, M. Lang, R. G. Mantovani, J. N. van Rijn, and J. Vanschoren · 2017

Later among the works it cites.

Comparison of Performance of Data Imputation Methods for Numeric Dataset

A. Jadhav, D. Pramod, and K. Ramanathan · 2019

Later among the works it cites.