rnd 1: wh-err= 0.963212 th-err= 0.963212 dev= nan test= 0.475000 train= 0.463889
rnd 2: wh-err= 0.966965 th-err= 0.931393 dev= nan test= 0.425000 train= 0.433333
rnd 3: wh-err= 0.968339 th-err= 0.901904 dev= nan test= 0.425000 train= 0.405556
rnd 4: wh-err= 0.974659 th-err= 0.879049 dev= nan test= 0.425000 train= 0.405556
rnd 5: wh-err= 0.974753 th-err= 0.856855 dev= nan test= 0.375000 train= 0.386111
rnd 6: wh-err= 0.975966 th-err= 0.836262 dev= nan test= 0.375000 train= 0.386111
rnd 7: wh-err= 0.977918 th-err= 0.817796 dev= nan test= 0.375000 train= 0.372222
rnd 8: wh-err= 0.977501 th-err= 0.799396 dev= nan test= 0.350000 train= 0.347222
rnd 9: wh-err= 0.977051 th-err= 0.781051 dev= nan test= 0.350000 train= 0.347222
rnd 10: wh-err= 0.975532 th-err= 0.761940 dev= nan test= 0.300000 train= 0.325000
rnd 11: wh-err= 0.977864 th-err= 0.745074 dev= nan test= 0.300000 train= 0.308333
rnd 12: wh-err= 0.979052 th-err= 0.729466 dev= nan test= 0.300000 train= 0.294444
rnd 13: wh-err= 0.979599 th-err= 0.714584 dev= nan test= 0.300000 train= 0.294444
rnd 14: wh-err= 0.980324 th-err= 0.700524 dev= nan test= 0.275000 train= 0.280556
rnd 15: wh-err= 0.979728 th-err= 0.686323 dev= nan test= 0.275000 train= 0.266667
rnd 16: wh-err= 0.979093 th-err= 0.671974 dev= nan test= 0.300000 train= 0.252778
rnd 17: wh-err= 0.978413 th-err= 0.657467 dev= nan test= 0.300000 train= 0.238889
rnd 18: wh-err= 0.977683 th-err= 0.642795 dev= nan test= 0.300000 train= 0.225000
rnd 19: wh-err= 0.978245 th-err= 0.628811 dev= nan test= 0.275000 train= 0.216667
rnd 20: wh-err= 0.973443 th-err= 0.612112 dev= nan test= 0.275000 train= 0.216667
rnd 21: wh-err= 0.974643 th-err= 0.596591 dev= nan test= 0.250000 train= 0.208333
rnd 22: wh-err= 0.978358 th-err= 0.583679 dev= nan test= 0.250000 train= 0.208333
rnd 23: wh-err= 0.977761 th-err= 0.570699 dev= nan test= 0.300000 train= 0.177778
rnd 24: wh-err= 0.977677 th-err= 0.557959 dev= nan test= 0.300000 train= 0.175000
rnd 25: wh-err= 0.978708 th-err= 0.546079 dev= nan test= 0.300000 train= 0.169444
rnd 26: wh-err= 0.978882 th-err= 0.534548 dev= nan test= 0.300000 train= 0.161111
rnd 27: wh-err= 0.979228 th-err= 0.523444 dev= nan test= 0.300000 train= 0.152778
rnd 28: wh-err= 0.979489 th-err= 0.512708 dev= nan test= 0.300000 train= 0.144444
rnd 29: wh-err= 0.978909 th-err= 0.501894 dev= nan test= 0.275000 train= 0.133333
rnd 30: wh-err= 0.978342 th-err= 0.491024 dev= nan test= 0.250000 train= 0.127778
rnd 31: wh-err= 0.979582 th-err= 0.480998 dev= nan test= 0.250000 train= 0.119444
rnd 32: wh-err= 0.980108 th-err= 0.471430 dev= nan test= 0.250000 train= 0.113889
rnd 33: wh-err= 0.980337 th-err= 0.462160 dev= nan test= 0.250000 train= 0.113889
rnd 34: wh-err= 0.980588 th-err= 0.453188 dev= nan test= 0.250000 train= 0.105556
rnd 35: wh-err= 0.980724 th-err= 0.444453 dev= nan test= 0.250000 train= 0.105556
rnd 36: wh-err= 0.980938 th-err= 0.435981 dev= nan test= 0.250000 train= 0.105556
rnd 37: wh-err= 0.980425 th-err= 0.427446 dev= nan test= 0.250000 train= 0.100000
rnd 38: wh-err= 0.981907 th-err= 0.419713 dev= nan test= 0.250000 train= 0.100000
rnd 39: wh-err= 0.982219 th-err= 0.412250 dev= nan test= 0.225000 train= 0.097222
rnd 40: wh-err= 0.982296 th-err= 0.404951 dev= nan test= 0.225000 train= 0.097222
rnd 41: wh-err= 0.982297 th-err= 0.397783 dev= nan test= 0.225000 train= 0.094444
rnd 42: wh-err= 0.982376 th-err= 0.390772 dev= nan test= 0.225000 train= 0.091667
rnd 43: wh-err= 0.982574 th-err= 0.383962 dev= nan test= 0.225000 train= 0.088889
rnd 44: wh-err= 0.983690 th-err= 0.377700 dev= nan test= 0.225000 train= 0.088889
rnd 45: wh-err= 0.984398 th-err= 0.371807 dev= nan test= 0.225000 train= 0.086111
rnd 46: wh-err= 0.982649 th-err= 0.365356 dev= nan test= 0.225000 train= 0.083333
rnd 47: wh-err= 0.984223 th-err= 0.359591 dev= nan test= 0.225000 train= 0.083333
rnd 48: wh-err= 0.983580 th-err= 0.353687 dev= nan test= 0.250000 train= 0.083333
rnd 49: wh-err= 0.981479 th-err= 0.347136 dev= nan test= 0.250000 train= 0.083333
rnd 50: wh-err= 0.983475 th-err= 0.341400 dev= nan test= 0.250000 train= 0.083333
rnd 51: wh-err= 0.983439 th-err= 0.335746 dev= nan test= 0.250000 train= 0.083333
rnd 52: wh-err= 0.983457 th-err= 0.330192 dev= nan test= 0.250000 train= 0.083333
rnd 53: wh-err= 0.983786 th-err= 0.324838 dev= nan test= 0.250000 train= 0.083333
rnd 54: wh-err= 0.983708 th-err= 0.319546 dev= nan test= 0.250000 train= 0.080556
rnd 55: wh-err= 0.983848 th-err= 0.314384 dev= nan test= 0.250000 train= 0.080556
rnd 56: wh-err= 0.983539 th-err= 0.309209 dev= nan test= 0.250000 train= 0.080556
rnd 57: wh-err= 0.984199 th-err= 0.304323 dev= nan test= 0.250000 train= 0.080556
rnd 58: wh-err= 0.984069 th-err= 0.299475 dev= nan test= 0.250000 train= 0.075000
rnd 59: wh-err= 0.983339 th-err= 0.294485 dev= nan test= 0.250000 train= 0.066667
rnd 60: wh-err= 0.982613 th-err= 0.289365 dev= nan test= 0.250000 train= 0.061111
rnd 61: wh-err= 0.982150 th-err= 0.284200 dev= nan test= 0.225000 train= 0.055556
rnd 62: wh-err= 0.981670 th-err= 0.278990 dev= nan test= 0.225000 train= 0.050000
rnd 63: wh-err= 0.982631 th-err= 0.274145 dev= nan test= 0.225000 train= 0.047222
rnd 64: wh-err= 0.982453 th-err= 0.269334 dev= nan test= 0.225000 train= 0.044444
rnd 65: wh-err= 0.982396 th-err= 0.264593 dev= nan test= 0.225000 train= 0.044444
rnd 66: wh-err= 0.982639 th-err= 0.259999 dev= nan test= 0.225000 train= 0.044444
rnd 67: wh-err= 0.983320 th-err= 0.255662 dev= nan test= 0.225000 train= 0.044444
rnd 68: wh-err= 0.983797 th-err= 0.251520 dev= nan test= 0.225000 train= 0.041667
rnd 69: wh-err= 0.984197 th-err= 0.247545 dev= nan test= 0.225000 train= 0.041667
rnd 70: wh-err= 0.984242 th-err= 0.243644 dev= nan test= 0.225000 train= 0.041667
rnd 71: wh-err= 0.984053 th-err= 0.239759 dev= nan test= 0.225000 train= 0.041667
rnd 72: wh-err= 0.983987 th-err= 0.235919 dev= nan test= 0.225000 train= 0.041667
rnd 73: wh-err= 0.982523 th-err= 0.231796 dev= nan test= 0.200000 train= 0.038889
rnd 74: wh-err= 0.981845 th-err= 0.227588 dev= nan test= 0.200000 train= 0.036111
rnd 75: wh-err= 0.981910 th-err= 0.223471 dev= nan test= 0.175000 train= 0.033333
rnd 76: wh-err= 0.982393 th-err= 0.219536 dev= nan test= 0.175000 train= 0.027778
rnd 77: wh-err= 0.981951 th-err= 0.215574 dev= nan test= 0.175000 train= 0.027778
rnd 78: wh-err= 0.981466 th-err= 0.211578 dev= nan test= 0.175000 train= 0.027778
rnd 79: wh-err= 0.980602 th-err= 0.207474 dev= nan test= 0.150000 train= 0.027778
rnd 80: wh-err= 0.978464 th-err= 0.203006 dev= nan test= 0.150000 train= 0.025000
rnd 81: wh-err= 0.981265 th-err= 0.199203 dev= nan test= 0.150000 train= 0.025000
rnd 82: wh-err= 0.981065 th-err= 0.195431 dev= nan test= 0.150000 train= 0.025000
rnd 83: wh-err= 0.981986 th-err= 0.191910 dev= nan test= 0.150000 train= 0.025000
rnd 84: wh-err= 0.983315 th-err= 0.188708 dev= nan test= 0.150000 train= 0.022222
rnd 85: wh-err= 0.983859 th-err= 0.185662 dev= nan test= 0.150000 train= 0.022222
rnd 86: wh-err= 0.983959 th-err= 0.182684 dev= nan test= 0.150000 train= 0.022222
rnd 87: wh-err= 0.984793 th-err= 0.179906 dev= nan test= 0.150000 train= 0.022222
rnd 88: wh-err= 0.984631 th-err= 0.177141 dev= nan test= 0.150000 train= 0.022222
rnd 89: wh-err= 0.984498 th-err= 0.174395 dev= nan test= 0.150000 train= 0.022222
rnd 90: wh-err= 0.984549 th-err= 0.171701 dev= nan test= 0.150000 train= 0.019444
rnd 91: wh-err= 0.985075 th-err= 0.169138 dev= nan test= 0.150000 train= 0.019444
rnd 92: wh-err= 0.985221 th-err= 0.166638 dev= nan test= 0.150000 train= 0.019444
rnd 93: wh-err= 0.985758 th-err= 0.164265 dev= nan test= 0.150000 train= 0.019444
rnd 94: wh-err= 0.985925 th-err= 0.161953 dev= nan test= 0.150000 train= 0.019444
rnd 95: wh-err= 0.986554 th-err= 0.159775 dev= nan test= 0.150000 train= 0.019444
rnd 96: wh-err= 0.986173 th-err= 0.157566 dev= nan test= 0.150000 train= 0.019444
rnd 97: wh-err= 0.985979 th-err= 0.155357 dev= nan test= 0.150000 train= 0.019444
rnd 98: wh-err= 0.986084 th-err= 0.153195 dev= nan test= 0.150000 train= 0.019444
rnd 99: wh-err= 0.985718 th-err= 0.151007 dev= nan test= 0.150000 train= 0.019444
rnd 100: wh-err= 0.986386 th-err= 0.148951 dev= nan test= 0.150000 train= 0.019444
rnd 101: wh-err= 0.986110 th-err= 0.146882 dev= nan test= 0.150000 train= 0.019444
rnd 102: wh-err= 0.985791 th-err= 0.144795 dev= nan test= 0.150000 train= 0.019444
rnd 103: wh-err= 0.985897 th-err= 0.142753 dev= nan test= 0.150000 train= 0.019444
rnd 104: wh-err= 0.985654 th-err= 0.140705 dev= nan test= 0.150000 train= 0.019444
rnd 105: wh-err= 0.984268 th-err= 0.138491 dev= nan test= 0.125000 train= 0.019444
