./rame -o c2 -I 1000 --sw-evals=1000 --sw-per-evals=500 -n 5 -d 5 n_sin.svm COR t
./maxwei c2
./rame --eval -d 5 --individual-file=c2.wei n_sin.svm COR train
./n train 1
./rame --eval -d 5 --individual-file=c2.wei n_mul.svm COR test
./predict test 0.963590 > test.l
perl sc test.llll list.csv

component (no darby argument)
0.552032 1:-0.711097 2:-0.983853 3:0.175761 4:1 5:0.156185 6:0.999311 7:0.821307 8:0.996931 9:-0.998572 10:0.319319 11:-0.006318 12:-0.0450823 13:0.948025 14:-0.390535 15:0.98767 16:0.81937 17:-0.117621 18:0.163422 19:-0.136287 20:0.337988
threshold  0.331727
0.834951 (0.669903, 1.000000)
(29/36, 75/150) B.A= 0.652777777777778

component (darby argument)
0.556488 1:-0.840063 2:-0.848045 3:0.261479 4:1 5:-0.141063 6:0.999993 7:0.406949 8:0.999997 9:-0.999994 10:0.176315 11:0.877038 12:-0.03635 13:1 14:-0.328413 15:0.999997 16:0.765061 17:0.127428 18:-0.137607 19:-0.154148 20:-0.773798
threshold  0.963590
0.830097 (0.660194, 1.000000)
(29/36, 74/150) B.A= 0.649444444444444