Number of training examples:    1000
Number of validation examples:  5000 (for model selection)
Number of test examples:       10000

1. Reported is the test error (TeVErr), for the model selected such
   that the validation error (ValErr) is smallest (independent on each of
   the five realizations of the data set.).

run:1  ValErr:0.0510  d1:3  d2:1  C:1.00  l:4  =>  TeVErr:0.0518  #svs=439
run:2  ValErr:0.0516  d1:2  d2:1  C:1.00  l:3  =>  TeVErr:0.0530  #svs=369
run:3  ValErr:0.0496  d1:3  d2:1  C:1.50  l:4  =>  TeVErr:0.0533  #svs=414
run:4  ValErr:0.0496  d1:3  d2:1  C:1.50  l:4  =>  TeVErr:0.0533  #svs=414
run:5  ValErr:0.0486  d1:3  d2:1  C:1.00  l:4  =>  TeVErr:0.0517  #svs=430

   TeVErr average+/-std. deviation: 5.21 +/- 0.11 %

2. Reported is the test error (TeVErr), for the model selected such
   that the validation error (ValErr) is smallest. ValErr, TeVErr and
   #svs are averaged over the five runs.

ValErr:0.0512  d1:3  d2:1  C:1.00  l:4  =>  TeVErr:0.0519  #svs=428