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Table 6 Average misclassification rates and number of variables selected for the RNA-seq study

From: Sparse sliced inverse regression for high dimensional data analysis

Method

Mean test error

\(\#\) of variables selected

\({\widehat{{\varvec{\beta }}}}_{1}\)

\({\widehat{{\varvec{\beta }}}}_{2}\)

\({\widehat{{\varvec{\beta }}}}_{3}\)

CISESIR

0.005 (0.0218)

352.26

352.26

352.26

CISELDA

0.002 (0.0147)

297.63

297.63

297.63

MGSDA

0.007 (0.0024)

4.30

4.30

4.30

PLDA

0.058 (0.0094)

6774.9

5225.3

5476.8

MSDA

–

–

  
  1. Averages are over 50 repetitions of randomly splitting the data into training (99 observations) and testing (48 observations). Reported average error rates are obtained from the test sets