Number of training examples:     100
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:0.0954  d1:2  d2:1  C:2.00  l:6  =>  TeVErr:0.0898  #svs=83
run:2  ValErr:0.0672  d1:3  d2:1  C:1.50  l:5  =>  TeVErr:0.0679  #svs=98
run:3  ValErr:0.0802  d1:2  d2:1  C:1.50  l:6  =>  TeVErr:0.0812  #svs=86
run:4  ValErr:0.0700  d1:3  d2:1  C:0.80  l:6  =>  TeVErr:0.0744  #svs=98
run:5  ValErr:0.0678  d1:3  d2:1  C:0.80  l:6  =>  TeVErr:0.0673  #svs=98

   TeVErr average+/-std. deviation: 7.61 +/- 0.95 %

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:0.0788  d1:3  d2:1  C:1.50  l:5  =>  TeVErr:0.0777   #svs=96
ValErr:0.0788  d1:3  d2:1  C:1.50  l:6  =>  TeVErr:0.0770   #svs=97