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Table 2 Simulation results: model selection

From: Super-sparse principal component analyses for high-throughput genomic data

       SPCA     SSPCA  
n p PCA HL LASSO EN PCA* HL LASSO EN
80 20 2.0 0.1 0 72 12 64 0 95 14 99
     0/16 16/16 14/16 16/16 0/16 16/16 15/16 16/16
     0/4 0/4 0/4 0/4 0/4 0/4 0/4 0/4
   0.5 0.1 0 77 1 56 0 100 43 99
     0/16 16/16 12/16 16/16 0/16 16/16 15/16 16/16
     0/4 0/4 0/4 0/4 0/4 0/4 0/4 0/4
50 200 2.0 0.1 0 73 0 88 0 100 27 87
     0/196 196/196 184.5/196 196/196 0/196 196/196 194/196 196/196
     0/4 0/4 0/4 0/4 0/4 0/4 0/4 0/4
   0.5 0.1 0 79 0 70 0 97 84 0
     0/196 196/196 185.5/196 196/196 0/196 196/196 196/196 196/196
     0/4 0/4 0/4 0/4 0/4 0/4 0/4 3/4
  1. Percentages of selecting the true model, the median number of correct 0 divided by the number of zeroes and incorrect 0 divided by the number of non-zeroes.
  2. PCA*: PCA using X*