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= 0.956329 th-err= 0.559504 dev= nan test= 0.225000 train= 0.163889
rnd 10: wh-err= 0.955233 th-err= 0.534456 dev= nan test= 0.200000 train= 0.152778
rnd 11: wh-err= 0.957106 th-err= 0.511531 dev= nan test= 0.225000 train= 0.144444
rnd 12: wh-err= 0.943297 th-err= 0.482526 dev= nan test= 0.225000 train= 0.141667
rnd 13: wh-err= 0.948713 th-err= 0.457778 dev= nan test= 0.225000 train= 0.127778
rnd 14: wh-err= 0.953279 th-err= 0.436390 dev= nan test= 0.250000 train= 0.125000
rnd 15: wh-err= 0.956934 th-err= 0.417597 dev= nan test= 0.225000 train= 0.116667
rnd 16: wh-err= 0.954419 th-err= 0.398563 dev= nan test= 0.250000 train= 0.111111
rnd 17: wh-err= 0.943277 th-err= 0.375955 dev= nan test= 0.250000 train= 0.100000
rnd 18: wh-err= 0.959700 th-err= 0.360804 dev= nan test= 0.225000 train= 0.094444
rnd 19: wh-err= 0.961063 th-err= 0.346755 dev= nan test= 0.275000 train= 0.088889
rnd 20: wh-err= 0.957427 th-err= 0.331993 dev= nan test= 0.275000 train= 0.083333
rnd 21: wh-err= 0.963106 th-err= 0.319744 dev= nan test= 0.250000 train= 0.080556
rnd 22: wh-err= 0.949713 th-err= 0.303665 dev= nan test= 0.300000 train= 0.075000
rnd 23: wh-err= 0.962807 th-err= 0.292371 dev= nan test= 0.275000 train= 0.061111
rnd 24: wh-err= 0.963451 th-err= 0.281685 dev= nan test= 0.250000 train= 0.072222
rnd 25: wh-err= 0.964756 th-err= 0.271758 dev= nan test= 0.275000 train= 0.072222
rnd 26: wh-err= 0.964296 th-err= 0.262055 dev= nan test= 0.275000 train= 0.063889
rnd 27: wh-err= 0.960329 th-err= 0.251659 dev= nan test= 0.175000 train= 0.050000
rnd 28: wh-err= 0.956651 th-err= 0.240750 dev= nan test= 0.175000 train= 0.041667
rnd 29: wh-err= 0.966961 th-err= 0.232796 dev= nan test= 0.175000 train= 0.038889
rnd 30: wh-err= 0.964391 th-err= 0.224506 dev= nan test= 0.175000 train= 0.044444
rnd 31: wh-err= 0.966210 th-err= 0.216920 dev= nan test= 0.175000 train= 0.047222
rnd 32: wh-err= 0.969054 th-err= 0.210207 dev= nan test= 0.200000 train= 0.041667
rnd 33: wh-err= 0.972649 th-err= 0.204458 dev= nan test= 0.200000 train= 0.041667
rnd 34: wh-err= 0.970047 th-err= 0.198334 dev= nan test= 0.225000 train= 0.033333
rnd 35: wh-err= 0.963395 th-err= 0.191074 dev= nan test= 0.175000 train= 0.030556
rnd 36: wh-err= 0.964864 th-err= 0.184360 dev= nan test= 0.200000 train= 0.030556
rnd 37: wh-err= 0.964034 th-err= 0.177729 dev= nan test= 0.175000 train= 0.027778
rnd 38: wh-err= 0.969570 th-err= 0.172321 dev= nan test= 0.150000 train= 0.019444
rnd 39: wh-err= 0.972222 th-err= 0.167534 dev= nan test= 0.175000 train= 0.025000
rnd 40: wh-err= 0.971638 th-err= 0.162783 dev= nan test= 0.175000 train= 0.022222
rnd 41: wh-err= 0.973345 th-err= 0.158444 dev= nan test= 0.150000 train= 0.019444
rnd 42: wh-err= 0.971803 th-err= 0.153976 dev= nan test= 0.175000 train= 0.019444
rnd 43: wh-err= 0.971393 th-err= 0.149571 dev= nan test= 0.225000 train= 0.022222
rnd 44: wh-err= 0.966115 th-err= 0.144503 dev= nan test= 0.200000 train= 0.019444
rnd 45: wh-err= 0.970050 th-err= 0.140175 dev= nan test= 0.225000 train= 0.019444
rnd 46: wh-err= 0.973959 th-err= 0.136525 dev= nan test= 0.200000 train= 0.019444
rnd 47: wh-err= 0.971559 th-err= 0.132642 dev= nan test= 0.225000 train= 0.019444
rnd 48: wh-err= 0.974899 th-err= 0.129313 dev= nan test= 0.225000 train= 0.019444
rnd 49: wh-err= 0.973938 th-err= 0.125942 dev= nan test= 0.200000 train= 0.019444
rnd 50: wh-err= 0.973940 th-err= 0.122660 dev= nan test= 0.200000 train= 0.019444
rnd 51: wh-err= 0.975372 th-err= 0.119639 dev= nan test= 0.175000 train= 0.019444
rnd 52: wh-err= 0.972646 th-err= 0.116367 dev= nan test= 0.175000 train= 0.019444
rnd 53: wh-err= 0.971556 th-err= 0.113057 dev= nan test= 0.175000 train= 0.019444
rnd 54: wh-err= 0.975372 th-err= 0.110273 dev= nan test= 0.175000 train= 0.019444
rnd 55: wh-err= 0.975232 th-err= 0.107542 dev= nan test= 0.175000 train= 0.019444
rnd 56: wh-err= 0.976389 th-err= 0.105002 dev= nan test= 0.175000 train= 0.019444
rnd 57: wh-err= 0.977613 th-err= 0.102652 dev= nan test= 0.175000 train= 0.019444
rnd 58: wh-err= 0.977516 th-err= 0.100344 dev= nan test= 0.175000 train= 0.019444
rnd 59: wh-err= 0.977295 th-err= 0.098065 dev= nan test= 0.175000 train= 0.019444
rnd 60: wh-err= 0.977824 th-err= 0.095891 dev= nan test= 0.175000 train= 0.019444
rnd 61: wh-err= 0.979441 th-err= 0.093919 dev= nan test= 0.175000 train= 0.019444
rnd 62: wh-err= 0.979446 th-err= 0.091989 dev= nan test= 0.200000 train= 0.019444
rnd 63: wh-err= 0.976927 th-err= 0.089866 dev= nan test= 0.175000 train= 0.019444
rnd 64: wh-err= 0.977837 th-err= 0.087875 dev= nan test= 0.175000 train= 0.019444
rnd 65: wh-err= 0.978989 th-err= 0.086028 dev= nan test= 0.175000 train= 0.019444
rnd 66: wh-err= 0.982834 th-err= 0.084552 dev= nan test= 0.175000 train= 0.019444
rnd 67: wh-err= 0.982846 th-err= 0.083101 dev= nan test= 0.175000 train= 0.019444
rnd 68: wh-err= 0.982263 th-err= 0.081627 dev= nan test= 0.175000 train= 0.019444
rnd 69: wh-err= 0.977868 th-err= 0.079821 dev= nan test= 0.175000 train= 0.019444
rnd 70: wh-err= 0.981726 th-err= 0.078362 dev= nan test= 0.175000 train= 0.019444
rnd 71: wh-err= 0.982792 th-err= 0.077014 dev= nan test= 0.175000 train= 0.019444
rnd 72: wh-err= 0.981574 th-err= 0.075595 dev= nan test= 0.175000 train= 0.019444
rnd 73: wh-err= 0.980974 th-err= 0.074156 dev= nan test= 0.175000 train= 0.019444
rnd 74: wh-err= 0.982170 th-err= 0.072834 dev= nan test= 0.175000 train= 0.019444
rnd 75: wh-err= 0.982523 th-err= 0.071561 dev= nan test= 0.175000 train= 0.019444
rnd 76: wh-err= 0.983191 th-err= 0.070358 dev= nan test= 0.175000 train= 0.019444
rnd 77: wh-err= 0.981526 th-err= 0.069058 dev= nan test= 0.175000 train= 0.019444
rnd 78: wh-err= 0.984954 th-err= 0.068019 dev= nan test= 0.175000 train= 0.019444
rnd 79: wh-err= 0.985136 th-err= 0.067008 dev= nan test= 0.175000 train= 0.019444
rnd 80: wh-err= 0.985965 th-err= 0.066068 dev= nan test= 0.175000 train= 0.019444
rnd 81: wh-err= 0.978590 th-err= 0.064653 dev= nan test= 0.175000 train= 0.019444
rnd 82: wh-err= 0.985351 th-err= 0.063706 dev= nan test= 0.175000 train= 0.019444
rnd 83: wh-err= 0.985751 th-err= 0.062799 dev= nan test= 0.175000 train= 0.019444
rnd 84: wh-err= 0.986001 th-err= 0.061919 dev= nan test= 0.175000 train= 0.019444
rnd 85: wh-err= 0.986085 th-err= 0.061058 dev= nan test= 0.175000 train= 0.019444
rnd 86: wh-err= 0.986521 th-err= 0.060235 dev= nan test= 0.175000 train= 0.019444
rnd 87: wh-err= 0.987122 th-err= 0.059459 dev= nan test= 0.175000 train= 0.019444
rnd 88: wh-err= 0.986996 th-err= 0.058686 dev= nan test= 0.175000 train= 0.019444
rnd 89: wh-err= 0.986862 th-err= 0.057915 dev= nan test= 0.175000 train= 0.019444
rnd 90: wh-err= 0.985590 th-err= 0.057080 dev= nan test= 0.175000 train= 0.019444
rnd 91: wh-err= 0.986430 th-err= 0.056306 dev= nan test= 0.175000 train= 0.019444
rnd 92: wh-err= 0.986730 th-err= 0.055559 dev= nan test= 0.175000 train= 0.019444
rnd 93: wh-err= 0.987065 th-err= 0.054840 dev= nan test= 0.175000 train= 0.019444
rnd 94: wh-err= 0.987775 th-err= 0.054170 dev= nan test= 0.175000 train= 0.019444
rnd 95: wh-err= 0.987443 th-err= 0.053489 dev= nan test= 0.175000 train= 0.019444
rnd 96: wh-err= 0.986020 th-err= 0.052742 dev= nan test= 0.175000 train= 0.019444
rnd 97: wh-err= 0.988548 th-err= 0.052138 dev= nan test= 0.150000 train= 0.019444
rnd 98: wh-err= 0.988699 th-err= 0.051548 dev= nan test= 0.150000 train= 0.019444
rnd 99: wh-err= 0.989121 th-err= 0.050988 dev= nan test= 0.150000 train= 0.019444
rnd 100: wh-err= 0.989811 th-err= 0.050468 dev= nan test= 0.150000 train= 0.019444
rnd 101: wh-err= 0.989500 th-err= 0.049938 dev= nan test= 0.150000 train= 0.019444
rnd 102: wh-err= 0.989916 th-err= 0.049435 dev= nan test= 0.150000 train= 0.019444
rnd 103: wh-err= 0.990186 th-err= 0.048949 dev= nan test= 0.150000 train= 0.019444
rnd 104: wh-err= 0.990127 th-err= 0.048466 dev= nan test= 0.150000 train= 0.019444
rnd 105: wh-err= 0.990454 th-err= 0.048004 dev= nan test= 0.150000 train= 0.019444
