rnd 1: wh-err= 0.887700 th-err= 0.887700 dev= nan test= 0.375000 train= 0.283333
rnd 2: wh-err= 0.928577 th-err= 0.824297 dev= nan test= 0.300000 train= 0.272222
rnd 3: wh-err= 0.935151 th-err= 0.770842 dev= nan test= 0.225000 train= 0.238889
rnd 4: wh-err= 0.938501 th-err= 0.723436 dev= nan test= 0.225000 train= 0.227778
rnd 5: wh-err= 0.941204 th-err= 0.680901 dev= nan test= 0.225000 train= 0.205556
rnd 6: wh-err= 0.951690 th-err= 0.648006 dev= nan test= 0.225000 train= 0.194444
rnd 7: wh-err= 0.951779 th-err= 0.616759 dev= nan test= 0.250000 train= 0.180556
rnd 8: wh-err= 0.948594 th-err= 0.585053 dev= nan test= 0.250000 train= 0.172222
rnd 9: wh-err= 0.958288 th-err= 0.560650 dev= nan test= 0.275000 train= 0.158333
rnd 10: wh-err= 0.950386 th-err= 0.532834 dev= nan test= 0.250000 train= 0.152778
rnd 11: wh-err= 0.948843 th-err= 0.505575 dev= nan test= 0.250000 train= 0.141667
rnd 12: wh-err= 0.952016 th-err= 0.481316 dev= nan test= 0.225000 train= 0.147222
rnd 13: wh-err= 0.959654 th-err= 0.461897 dev= nan test= 0.225000 train= 0.138889
rnd 14: wh-err= 0.953955 th-err= 0.440629 dev= nan test= 0.225000 train= 0.125000
rnd 15: wh-err= 0.952619 th-err= 0.419751 dev= nan test= 0.225000 train= 0.116667
rnd 16: wh-err= 0.952742 th-err= 0.399914 dev= nan test= 0.175000 train= 0.097222
rnd 17: wh-err= 0.948485 th-err= 0.379313 dev= nan test= 0.175000 train= 0.097222
rnd 18: wh-err= 0.952820 th-err= 0.361417 dev= nan test= 0.175000 train= 0.091667
rnd 19: wh-err= 0.959008 th-err= 0.346602 dev= nan test= 0.175000 train= 0.083333
rnd 20: wh-err= 0.960681 th-err= 0.332974 dev= nan test= 0.250000 train= 0.088889
rnd 21: wh-err= 0.967400 th-err= 0.322119 dev= nan test= 0.225000 train= 0.080556
rnd 22: wh-err= 0.966750 th-err= 0.311408 dev= nan test= 0.225000 train= 0.083333
rnd 23: wh-err= 0.961575 th-err= 0.299443 dev= nan test= 0.200000 train= 0.075000
rnd 24: wh-err= 0.966200 th-err= 0.289321 dev= nan test= 0.200000 train= 0.072222
rnd 25: wh-err= 0.964614 th-err= 0.279084 dev= nan test= 0.175000 train= 0.063889
rnd 26: wh-err= 0.968398 th-err= 0.270264 dev= nan test= 0.150000 train= 0.058333
rnd 27: wh-err= 0.965030 th-err= 0.260813 dev= nan test= 0.100000 train= 0.050000
