rnd 1: wh-err= 0.971825 th-err= 0.971825 dev= nan test= 0.500000 train= 0.472222
rnd 2: wh-err= 0.973486 th-err= 0.946059 dev= nan test= 0.475000 train= 0.447222
rnd 3: wh-err= 0.974662 th-err= 0.922088 dev= nan test= 0.475000 train= 0.447222
rnd 4: wh-err= 0.975455 th-err= 0.899455 dev= nan test= 0.450000 train= 0.425000
rnd 5: wh-err= 0.974487 th-err= 0.876507 dev= nan test= 0.425000 train= 0.402778
rnd 6: wh-err= 0.976589 th-err= 0.855987 dev= nan test= 0.425000 train= 0.402778
rnd 7: wh-err= 0.978785 th-err= 0.837828 dev= nan test= 0.425000 train= 0.402778
rnd 8: wh-err= 0.980142 th-err= 0.821190 dev= nan test= 0.425000 train= 0.386111
rnd 9: wh-err= 0.979096 th-err= 0.804024 dev= nan test= 0.425000 train= 0.386111
rnd 10: wh-err= 0.979713 th-err= 0.787712 dev= nan test= 0.425000 train= 0.369444
rnd 11: wh-err= 0.978213 th-err= 0.770551 dev= nan test= 0.325000 train= 0.338889
rnd 12: wh-err= 0.979028 th-err= 0.754391 dev= nan test= 0.350000 train= 0.333333
rnd 13: wh-err= 0.981706 th-err= 0.740590 dev= nan test= 0.350000 train= 0.327778
rnd 14: wh-err= 0.981373 th-err= 0.726795 dev= nan test= 0.350000 train= 0.327778
rnd 15: wh-err= 0.980404 th-err= 0.712552 dev= nan test= 0.425000 train= 0.272222
rnd 16: wh-err= 0.979499 th-err= 0.697944 dev= nan test= 0.425000 train= 0.266667
rnd 17: wh-err= 0.980151 th-err= 0.684091 dev= nan test= 0.400000 train= 0.252778
rnd 18: wh-err= 0.981116 th-err= 0.671172 dev= nan test= 0.400000 train= 0.250000
rnd 19: wh-err= 0.982556 th-err= 0.659464 dev= nan test= 0.400000 train= 0.250000
rnd 20: wh-err= 0.981098 th-err= 0.646999 dev= nan test= 0.350000 train= 0.236111
rnd 21: wh-err= 0.981685 th-err= 0.635149 dev= nan test= 0.350000 train= 0.236111
rnd 22: wh-err= 0.981323 th-err= 0.623286 dev= nan test= 0.350000 train= 0.233333
rnd 23: wh-err= 0.981606 th-err= 0.611821 dev= nan test= 0.325000 train= 0.233333
rnd 24: wh-err= 0.982284 th-err= 0.600982 dev= nan test= 0.325000 train= 0.225000
rnd 25: wh-err= 0.981942 th-err= 0.590130 dev= nan test= 0.325000 train= 0.216667
rnd 26: wh-err= 0.982392 th-err= 0.579739 dev= nan test= 0.325000 train= 0.205556
rnd 27: wh-err= 0.981277 th-err= 0.568884 dev= nan test= 0.275000 train= 0.172222
rnd 28: wh-err= 0.981559 th-err= 0.558393 dev= nan test= 0.250000 train= 0.163889
rnd 29: wh-err= 0.983252 th-err= 0.549042 dev= nan test= 0.225000 train= 0.163889
rnd 30: wh-err= 0.982454 th-err= 0.539408 dev= nan test= 0.225000 train= 0.163889
rnd 31: wh-err= 0.981740 th-err= 0.529559 dev= nan test= 0.225000 train= 0.152778
rnd 32: wh-err= 0.981943 th-err= 0.519996 dev= nan test= 0.225000 train= 0.141667
rnd 33: wh-err= 0.982813 th-err= 0.511059 dev= nan test= 0.225000 train= 0.138889
rnd 34: wh-err= 0.982415 th-err= 0.502072 dev= nan test= 0.225000 train= 0.136111
rnd 35: wh-err= 0.983311 th-err= 0.493693 dev= nan test= 0.225000 train= 0.127778
rnd 36: wh-err= 0.982916 th-err= 0.485259 dev= nan test= 0.225000 train= 0.127778
rnd 37: wh-err= 0.983824 th-err= 0.477409 dev= nan test= 0.225000 train= 0.119444
rnd 38: wh-err= 0.983863 th-err= 0.469705 dev= nan test= 0.225000 train= 0.116667
rnd 39: wh-err= 0.982991 th-err= 0.461716 dev= nan test= 0.250000 train= 0.113889
rnd 40: wh-err= 0.981584 th-err= 0.453213 dev= nan test= 0.225000 train= 0.111111
rnd 41: wh-err= 0.982507 th-err= 0.445285 dev= nan test= 0.225000 train= 0.111111
rnd 42: wh-err= 0.983077 th-err= 0.437750 dev= nan test= 0.225000 train= 0.108333
rnd 43: wh-err= 0.983400 th-err= 0.430483 dev= nan test= 0.225000 train= 0.100000
rnd 44: wh-err= 0.984463 th-err= 0.423794 dev= nan test= 0.200000 train= 0.102778
rnd 45: wh-err= 0.983002 th-err= 0.416591 dev= nan test= 0.200000 train= 0.100000
rnd 46: wh-err= 0.982594 th-err= 0.409339 dev= nan test= 0.200000 train= 0.094444
rnd 47: wh-err= 0.983346 th-err= 0.402522 dev= nan test= 0.200000 train= 0.097222
rnd 48: wh-err= 0.983130 th-err= 0.395732 dev= nan test= 0.200000 train= 0.094444
rnd 49: wh-err= 0.982917 th-err= 0.388971 dev= nan test= 0.200000 train= 0.088889
rnd 50: wh-err= 0.984973 th-err= 0.383126 dev= nan test= 0.175000 train= 0.086111
