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Table 4 Overview of fit and sparseness for retained sparse group lasso models

From: A flexible framework for sparse simultaneous component based data integration

f L f R f G Fit Number of zeros in
     C1 C2 C3 C4 C5
0.5 0.0001 0.01 0.52 178 176 176 178 179
0.5 0.0001 0.1 0.49 166 156 167 161 159
0.5 0.0001 0.2 0.44 150 173 145 143 169
0.5 0.001 0.1 0.49 158 167 161 166 156
0.5 0.001 0.2 0.44 169 150 146 145 173
0.5 0.01 0.1 0.48 154 154 166 165 160
1 0.0001 0.01 0.43 184 181 183 184 182
1 0.001 0.001 0.43 181 185 185 185 186
1 0.001 0.01 0.43 181 182 184 183 180
1 0.01 0.0001 0.42 180 183 180 179 174
1 0.01 0.001 0.42 182 179 174 180 179
1 0.01 0.01 0.41 177 180 173 178 181
  1. Solutions with five components that have non-zero component weights in only one data block, a fit > .40, and more than 50 percent of zero weights in the remaining block. The strength of the different tuning parameters is indicated in the first three columns, the fit is displayed in the fourth column, and the 5 remaining columns show for each component (C1-C5) how many of the 188 metabolites received a zero-weight.