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Table 1 Sample mean \(\mu\) and standard deviation \(\sigma\) for base imputation methods in prediction errors

From: An efficient ensemble method for missing value imputation in microarray gene expression data

Method

\(\gamma =5\%\)

\(\gamma =10\%\)

\(\gamma =15\%\)

\(\mu\)

\(\sigma\)

\(\mu\)

\(\sigma\)

\(\mu\)

\(\sigma\)

KNN

0.0036

0.4879

0.0114

0.5398

0.0050

0.5760

LLS

0.0089

0.4079

0.0155

0.4385

0.0084

0.4439

ILLS

0.0090

0.4232

0.0158

0.4441

0.0106

0.4606

SVD

0.0038

0.3975

0.0124

0.4185

0.0013

0.4362

  1. The experiment is conducted on GDS38 dataset while missing rate \(\gamma\) varies from 5 to \(15\%\), and the given sample mean and standard deviation are averaged over the results obtained by repeating the imputation process ten times in bootstrapping way
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BMC Bioinformatics

ISSN: 1471-2105

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