Skip to main content

Table 2 Sample covariance for base imputation methods in prediction errors

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

\(\gamma\) (%)

\(\sigma _{KL}\)

\(\sigma _{KI}\)

\(\sigma _{KS}\)

\(\sigma _{LI}\)

\(\sigma _{LS}\)

\(\sigma _{IS}\)

5

0.1160

0.1172

0.0906

0.1589

0.1016

0.1034

10

0.1301

0.1220

0.1057

0.1617

0.1138

0.1126

15

0.1269

0.1312

0.1057

0.1583

0.1179

0.1147

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