ServerRun 10950
Creatorpliang
Programboostexter
Datasetccs-challenge-dataset
Task typeMulticlassClassification
Created6y310d ago
DownloadLogin required!
Done! Flag_green
21s
43M
BinaryClassification
0.938
0

Log file

... (lines omitted) ...
rnd  638: wh-err= 0.999964  th-err= 0.313373  test=      -nan  train= 0.0637000 
rnd  639: wh-err= 0.999911  th-err= 0.313345  test=      -nan  train= 0.0634000 
rnd  640: wh-err= 0.999915  th-err= 0.313318  test=      -nan  train= 0.0634000 
rnd  641: wh-err= 0.999876  th-err= 0.313280  test=      -nan  train= 0.0635000 
rnd  642: wh-err= 0.999910  th-err= 0.313252  test=      -nan  train= 0.0638000 
rnd  643: wh-err= 0.999907  th-err= 0.313222  test=      -nan  train= 0.0636000 
rnd  644: wh-err= 0.999911  th-err= 0.313195  test=      -nan  train= 0.0637000 
rnd  645: wh-err= 0.999911  th-err= 0.313167  test=      -nan  train= 0.0638000 
rnd  646: wh-err= 0.999875  th-err= 0.313127  test=      -nan  train= 0.0637000 
rnd  647: wh-err= 0.999906  th-err= 0.313098  test=      -nan  train= 0.0639000 
rnd  648: wh-err= 0.999840  th-err= 0.313048  test=      -nan  train= 0.0636000 
rnd  649: wh-err= 0.999901  th-err= 0.313017  test=      -nan  train= 0.0637000 
rnd  650: wh-err= 0.999904  th-err= 0.312987  test=      -nan  train= 0.0638000 
rnd  651: wh-err= 0.999895  th-err= 0.312954  test=      -nan  train= 0.0637000 
rnd  652: wh-err= 0.999905  th-err= 0.312924  test=      -nan  train= 0.0634000 
rnd  653: wh-err= 0.999901  th-err= 0.312893  test=      -nan  train= 0.0636000 
rnd  654: wh-err= 0.999899  th-err= 0.312862  test=      -nan  train= 0.0634000 
rnd  655: wh-err= 0.999887  th-err= 0.312826  test=      -nan  train= 0.0635000 
rnd  656: wh-err= 0.999851  th-err= 0.312780  test=      -nan  train= 0.0637000 
rnd  657: wh-err= 0.999896  th-err= 0.312747  test=      -nan  train= 0.0636000 
rnd  658: wh-err= 0.999874  th-err= 0.312708  test=      -nan  train= 0.0634000 
rnd  659: wh-err= 0.999881  th-err= 0.312671  test=      -nan  train= 0.0637000 
rnd  660: wh-err= 0.999900  th-err= 0.312639  test=      -nan  train= 0.0635000 
rnd  661: wh-err= 0.999854  th-err= 0.312594  test=      -nan  train= 0.0635000 
rnd  662: wh-err= 0.999964  th-err= 0.312583  test=      -nan  train= 0.0635000 
rnd  663: wh-err= 0.999913  th-err= 0.312555  test=      -nan  train= 0.0635000 
rnd  664: wh-err= 0.999869  th-err= 0.312514  test=      -nan  train= 0.0635000 
rnd  665: wh-err= 0.999908  th-err= 0.312486  test=      -nan  train= 0.0635000 
rnd  666: wh-err= 0.999915  th-err= 0.312459  test=      -nan  train= 0.0638000 
rnd  667: wh-err= 0.999908  th-err= 0.312430  test=      -nan  train= 0.0635000 
rnd  668: wh-err= 0.999915  th-err= 0.312404  test=      -nan  train= 0.0636000 
rnd  669: wh-err= 0.999918  th-err= 0.312378  test=      -nan  train= 0.0635000 
rnd  670: wh-err= 0.999906  th-err= 0.312349  test=      -nan  train= 0.0636000 
rnd  671: wh-err= 0.999968  th-err= 0.312339  test=      -nan  train= 0.0636000 
rnd  672: wh-err= 0.999968  th-err= 0.312329  test=      -nan  train= 0.0636000 
rnd  673: wh-err= 0.999921  th-err= 0.312304  test=      -nan  train= 0.0639000 
rnd  674: wh-err= 0.999912  th-err= 0.312277  test=      -nan  train= 0.0639000 
rnd  675: wh-err= 0.999868  th-err= 0.312236  test=      -nan  train= 0.0639000 
rnd  676: wh-err= 0.999800  th-err= 0.312173  test=      -nan  train= 0.0639000 
rnd  677: wh-err= 0.999906  th-err= 0.312144  test=      -nan  train= 0.0640000 
rnd  678: wh-err= 0.999907  th-err= 0.312115  test=      -nan  train= 0.0638000 
rnd  679: wh-err= 0.999970  th-err= 0.312106  test=      -nan  train= 0.0638000 
rnd  680: wh-err= 0.999924  th-err= 0.312082  test=      -nan  train= 0.0637000 
rnd  681: wh-err= 0.999898  th-err= 0.312050  test=      -nan  train= 0.0636000 
rnd  682: wh-err= 0.999896  th-err= 0.312018  test=      -nan  train= 0.0638000 
rnd  683: wh-err= 0.999923  th-err= 0.311994  test=      -nan  train= 0.0639000 
rnd  684: wh-err= 0.999924  th-err= 0.311970  test=      -nan  train= 0.0639000 
rnd  685: wh-err= 0.999973  th-err= 0.311961  test=      -nan  train= 0.0639000 
rnd  686: wh-err= 0.999927  th-err= 0.311938  test=      -nan  train= 0.0638000 
rnd  687: wh-err= 0.999963  th-err= 0.311927  test=      -nan  train= 0.0638000 
rnd  688: wh-err= 0.999925  th-err= 0.311904  test=      -nan  train= 0.0641000 
rnd  689: wh-err= 0.999923  th-err= 0.311879  test=      -nan  train= 0.0639000 
rnd  690: wh-err= 0.999909  th-err= 0.311851  test=      -nan  train= 0.0642000 
rnd  691: wh-err= 0.999915  th-err= 0.311825  test=      -nan  train= 0.0638000 
rnd  692: wh-err= 0.999973  th-err= 0.311816  test=      -nan  train= 0.0638000 
rnd  693: wh-err= 0.999975  th-err= 0.311809  test=      -nan  train= 0.0638000 
rnd  694: wh-err= 0.999934  th-err= 0.311788  test=      -nan  train= 0.0638000 
rnd  695: wh-err= 0.999971  th-err= 0.311779  test=      -nan  train= 0.0638000 
rnd  696: wh-err= 0.999928  th-err= 0.311756  test=      -nan  train= 0.0638000 
rnd  697: wh-err= 0.999929  th-err= 0.311734  test=      -nan  train= 0.0636000 
rnd  698: wh-err= 0.999892  th-err= 0.311701  test=      -nan  train= 0.0638000 
rnd  699: wh-err= 0.999903  th-err= 0.311671  test=      -nan  train= 0.0636000 
rnd  700: wh-err= 0.999913  th-err= 0.311644  test=      -nan  train= 0.0638000 
rnd  701: wh-err= 0.999921  th-err= 0.311619  test=      -nan  train= 0.0636000 
rnd  702: wh-err= 0.999923  th-err= 0.311595  test=      -nan  train= 0.0636000 
rnd  703: wh-err= 0.999930  th-err= 0.311573  test=      -nan  train= 0.0636000 
rnd  704: wh-err= 0.999975  th-err= 0.311565  test=      -nan  train= 0.0636000 
rnd  705: wh-err= 0.999976  th-err= 0.311558  test=      -nan  train= 0.0636000 
rnd  706: wh-err= 0.999932  th-err= 0.311536  test=      -nan  train= 0.0638000 
rnd  707: wh-err= 0.999928  th-err= 0.311514  test=      -nan  train= 0.0636000 
rnd  708: wh-err= 0.999932  th-err= 0.311493  test=      -nan  train= 0.0634000 
rnd  709: wh-err= 0.999826  th-err= 0.311439  test=      -nan  train= 0.0637000 
rnd  710: wh-err= 0.999901  th-err= 0.311408  test=      -nan  train= 0.0635000 
rnd  711: wh-err= 0.999977  th-err= 0.311400  test=      -nan  train= 0.0635000 
rnd  712: wh-err= 0.999934  th-err= 0.311380  test=      -nan  train= 0.0636000 
rnd  713: wh-err= 0.999918  th-err= 0.311354  test=      -nan  train= 0.0634000 
rnd  714: wh-err= 0.999886  th-err= 0.311319  test=      -nan  train= 0.0633000 
rnd  715: wh-err= 0.999906  th-err= 0.311290  test=      -nan  train= 0.0638000 
rnd  716: wh-err= 0.999913  th-err= 0.311262  test=      -nan  train= 0.0634000 
rnd  717: wh-err= 0.999929  th-err= 0.311240  test=      -nan  train= 0.0639000 
rnd  718: wh-err= 0.999887  th-err= 0.311205  test=      -nan  train= 0.0635000 
rnd  719: wh-err= 0.999907  th-err= 0.311176  test=      -nan  train= 0.0637000 
rnd  720: wh-err= 0.999930  th-err= 0.311154  test=      -nan  train= 0.0639000 
rnd  721: wh-err= 0.999848  th-err= 0.311107  test=      -nan  train= 0.0634000 
rnd  722: wh-err= 0.999869  th-err= 0.311066  test=      -nan  train= 0.0639000 
rnd  723: wh-err= 0.999887  th-err= 0.311031  test=      -nan  train= 0.0635000 
rnd  724: wh-err= 0.999902  th-err= 0.311001  test=      -nan  train= 0.0639000 
rnd  725: wh-err= 0.999916  th-err= 0.310975  test=      -nan  train= 0.0635000 
rnd  726: wh-err= 0.999927  th-err= 0.310952  test=      -nan  train= 0.0639000 
rnd  727: wh-err= 0.999931  th-err= 0.310931  test=      -nan  train= 0.0639000 
rnd  728: wh-err= 0.999927  th-err= 0.310908  test=      -nan  train= 0.0638000 
rnd  729: wh-err= 0.999898  th-err= 0.310876  test=      -nan  train= 0.0642000 
rnd  730: wh-err= 0.999925  th-err= 0.310853  test=      -nan  train= 0.0641000 
rnd  731: wh-err= 0.999910  th-err= 0.310825  test=      -nan  train= 0.0638000 
rnd  732: wh-err= 0.999913  th-err= 0.310798  test=      -nan  train= 0.0638000 
rnd  733: wh-err= 0.999913  th-err= 0.310771  test=      -nan  train= 0.0639000 
rnd  734: wh-err= 0.999905  th-err= 0.310741  test=      -nan  train= 0.0635000 
rnd  735: wh-err= 0.999911  th-err= 0.310714  test=      -nan  train= 0.0639000 
rnd  736: wh-err= 0.999918  th-err= 0.310688  test=      -nan  train= 0.0640000 
rnd  737: wh-err= 0.999915  th-err= 0.310662  test=      -nan  train= 0.0640000 
rnd  738: wh-err= 0.999927  th-err= 0.310639  test=      -nan  train= 0.0636000 
rnd  739: wh-err= 0.999924  th-err= 0.310616  test=      -nan  train= 0.0636000 
rnd  740: wh-err= 0.999929  th-err= 0.310593  test=      -nan  train= 0.0634000 
rnd  741: wh-err= 0.999904  th-err= 0.310564  test=      -nan  train= 0.0634000 
rnd  742: wh-err= 0.999918  th-err= 0.310538  test=      -nan  train= 0.0638000 
rnd  743: wh-err= 0.999923  th-err= 0.310514  test=      -nan  train= 0.0635000 
rnd  744: wh-err= 0.999926  th-err= 0.310491  test=      -nan  train= 0.0638000 
rnd  745: wh-err= 0.999922  th-err= 0.310467  test=      -nan  train= 0.0637000 
rnd  746: wh-err= 0.999920  th-err= 0.310442  test=      -nan  train= 0.0638000 
rnd  747: wh-err= 0.999890  th-err= 0.310408  test=      -nan  train= 0.0638000 
rnd  748: wh-err= 0.999912  th-err= 0.310381  test=      -nan  train= 0.0638000 
rnd  749: wh-err= 0.999924  th-err= 0.310357  test=      -nan  train= 0.0634000 
rnd  750: wh-err= 0.999907  th-err= 0.310329  test=      -nan  train= 0.0637000 
rnd  751: wh-err= 0.999907  th-err= 0.310300  test=      -nan  train= 0.0638000 
rnd  752: wh-err= 0.999927  th-err= 0.310277  test=      -nan  train= 0.0638000 
rnd  753: wh-err= 0.999932  th-err= 0.310255  test=      -nan  train= 0.0638000 
rnd  754: wh-err= 0.999931  th-err= 0.310234  test=      -nan  train= 0.0639000 
rnd  755: wh-err= 0.999976  th-err= 0.310227  test=      -nan  train= 0.0639000 
rnd  756: wh-err= 0.999932  th-err= 0.310206  test=      -nan  train= 0.0638000 
rnd  757: wh-err= 0.999930  th-err= 0.310184  test=      -nan  train= 0.0636000 
rnd  758: wh-err= 0.999926  th-err= 0.310161  test=      -nan  train= 0.0637000 
rnd  759: wh-err= 0.999929  th-err= 0.310139  test=      -nan  train= 0.0640000 
rnd  760: wh-err= 0.999929  th-err= 0.310117  test=      -nan  train= 0.0641000 
rnd  761: wh-err= 0.999925  th-err= 0.310094  test=      -nan  train= 0.0637000 
rnd  762: wh-err= 0.999899  th-err= 0.310062  test=      -nan  train= 0.0644000 
rnd  763: wh-err= 0.999933  th-err= 0.310042  test=      -nan  train= 0.0642000 
rnd  764: wh-err= 0.999889  th-err= 0.310007  test=      -nan  train= 0.0641000 
rnd  765: wh-err= 0.999928  th-err= 0.309985  test=      -nan  train= 0.0642000 
rnd  766: wh-err= 0.999978  th-err= 0.309978  test=      -nan  train= 0.0642000 
rnd  767: wh-err= 0.999980  th-err= 0.309972  test=      -nan  train= 0.0642000 
rnd  768: wh-err= 0.999939  th-err= 0.309953  test=      -nan  train= 0.0640000 
rnd  769: wh-err= 0.999937  th-err= 0.309933  test=      -nan  train= 0.0637000 
rnd  770: wh-err= 0.999980  th-err= 0.309927  test=      -nan  train= 0.0637000 
rnd  771: wh-err= 0.999980  th-err= 0.309921  test=      -nan  train= 0.0637000 
rnd  772: wh-err= 0.999940  th-err= 0.309902  test=      -nan  train= 0.0639000 
rnd  773: wh-err= 0.999980  th-err= 0.309896  test=      -nan  train= 0.0639000 
rnd  774: wh-err= 0.999981  th-err= 0.309890  test=      -nan  train= 0.0639000 
rnd  775: wh-err= 0.999981  th-err= 0.309884  test=      -nan  train= 0.0639000 
rnd  776: wh-err= 0.999981  th-err= 0.309879  test=      -nan  train= 0.0639000 
rnd  777: wh-err= 0.999941  th-err= 0.309860  test=      -nan  train= 0.0638000 
rnd  778: wh-err= 0.999920  th-err= 0.309836  test=      -nan  train= 0.0638000 
rnd  779: wh-err= 0.999982  th-err= 0.309830  test=      -nan  train= 0.0638000 
rnd  780: wh-err= 0.999943  th-err= 0.309812  test=      -nan  train= 0.0638000 
rnd  781: wh-err= 0.999982  th-err= 0.309807  test=      -nan  train= 0.0638000 
rnd  782: wh-err= 0.999982  th-err= 0.309801  test=      -nan  train= 0.0638000 
rnd  783: wh-err= 0.999982  th-err= 0.309796  test=      -nan  train= 0.0638000 
rnd  784: wh-err= 0.999982  th-err= 0.309791  test=      -nan  train= 0.0638000 
rnd  785: wh-err= 0.999982  th-err= 0.309785  test=      -nan  train= 0.0638000 
rnd  786: wh-err= 0.999982  th-err= 0.309780  test=      -nan  train= 0.0638000 
rnd  787: wh-err= 0.999944  th-err= 0.309762  test=      -nan  train= 0.0640000 
rnd  788: wh-err= 0.999929  th-err= 0.309740  test=      -nan  train= 0.0639000 
rnd  789: wh-err= 0.999983  th-err= 0.309735  test=      -nan  train= 0.0640000 
rnd  790: wh-err= 0.999945  th-err= 0.309718  test=      -nan  train= 0.0637000 
rnd  791: wh-err= 0.999943  th-err= 0.309700  test=      -nan  train= 0.0639000 
rnd  792: wh-err= 0.999944  th-err= 0.309683  test=      -nan  train= 0.0639000 
rnd  793: wh-err= 0.999983  th-err= 0.309677  test=      -nan  train= 0.0639000 
rnd  794: wh-err= 0.999983  th-err= 0.309672  test=      -nan  train= 0.0639000 
rnd  795: wh-err= 0.999945  th-err= 0.309655  test=      -nan  train= 0.0639000 
rnd  796: wh-err= 0.999937  th-err= 0.309636  test=      -nan  train= 0.0639000 
rnd  797: wh-err= 0.999945  th-err= 0.309619  test=      -nan  train= 0.0638000 
rnd  798: wh-err= 0.999937  th-err= 0.309599  test=      -nan  train= 0.0634000 
rnd  799: wh-err= 0.999918  th-err= 0.309574  test=      -nan  train= 0.0639000 
rnd  800: wh-err= 0.999983  th-err= 0.309568  test=      -nan  train= 0.0639000 
rnd  801: wh-err= 0.999946  th-err= 0.309552  test=      -nan  train= 0.0640000 
rnd  802: wh-err= 0.999984  th-err= 0.309547  test=      -nan  train= 0.0639000 
rnd  803: wh-err= 0.999984  th-err= 0.309542  test=      -nan  train= 0.0639000 
rnd  804: wh-err= 0.999984  th-err= 0.309537  test=      -nan  train= 0.0639000 
rnd  805: wh-err= 0.999984  th-err= 0.309532  test=      -nan  train= 0.0639000 
rnd  806: wh-err= 0.999984  th-err= 0.309527  test=      -nan  train= 0.0639000 
rnd  807: wh-err= 0.999948  th-err= 0.309511  test=      -nan  train= 0.0638000 
rnd  808: wh-err= 0.999946  th-err= 0.309494  test=      -nan  train= 0.0638000 
rnd  809: wh-err= 0.999924  th-err= 0.309471  test=      -nan  train= 0.0638000 
rnd  810: wh-err= 0.999943  th-err= 0.309453  test=      -nan  train= 0.0637000 
rnd  811: wh-err= 0.999924  th-err= 0.309430  test=      -nan  train= 0.0641000 
rnd  812: wh-err= 0.999931  th-err= 0.309409  test=      -nan  train= 0.0640000 
rnd  813: wh-err= 0.999941  th-err= 0.309390  test=      -nan  train= 0.0640000 
rnd  814: wh-err= 0.999941  th-err= 0.309372  test=      -nan  train= 0.0639000 
rnd  815: wh-err= 0.999928  th-err= 0.309350  test=      -nan  train= 0.0642000 
rnd  816: wh-err= 0.999938  th-err= 0.309330  test=      -nan  train= 0.0643000 
rnd  817: wh-err= 0.999920  th-err= 0.309306  test=      -nan  train= 0.0641000 
rnd  818: wh-err= 0.999928  th-err= 0.309283  test=      -nan  train= 0.0643000 
rnd  819: wh-err= 0.999935  th-err= 0.309263  test=      -nan  train= 0.0642000 
rnd  820: wh-err= 0.999938  th-err= 0.309244  test=      -nan  train= 0.0643000 
rnd  821: wh-err= 0.999939  th-err= 0.309225  test=      -nan  train= 0.0645000 
rnd  822: wh-err= 0.999938  th-err= 0.309206  test=      -nan  train= 0.0642000 
rnd  823: wh-err= 0.999903  th-err= 0.309176  test=      -nan  train= 0.0645000 
rnd  824: wh-err= 0.999908  th-err= 0.309148  test=      -nan  train= 0.0642000 
rnd  825: wh-err= 0.999917  th-err= 0.309122  test=      -nan  train= 0.0645000 
rnd  826: wh-err= 0.999914  th-err= 0.309095  test=      -nan  train= 0.0642000 
rnd  827: wh-err= 0.999919  th-err= 0.309070  test=      -nan  train= 0.0645000 
rnd  828: wh-err= 0.999923  th-err= 0.309046  test=      -nan  train= 0.0642000 
rnd  829: wh-err= 0.999927  th-err= 0.309024  test=      -nan  train= 0.0645000 
rnd  830: wh-err= 0.999931  th-err= 0.309002  test=      -nan  train= 0.0642000 
rnd  831: wh-err= 0.999934  th-err= 0.308982  test=      -nan  train= 0.0645000 
rnd  832: wh-err= 0.999935  th-err= 0.308962  test=      -nan  train= 0.0642000 
rnd  833: wh-err= 0.999941  th-err= 0.308944  test=      -nan  train= 0.0645000 
rnd  834: wh-err= 0.999940  th-err= 0.308925  test=      -nan  train= 0.0643000 
rnd  835: wh-err= 0.999943  th-err= 0.308907  test=      -nan  train= 0.0645000 
rnd  836: wh-err= 0.999945  th-err= 0.308890  test=      -nan  train= 0.0644000 
rnd  837: wh-err= 0.999946  th-err= 0.308874  test=      -nan  train= 0.0643000 
rnd  838: wh-err= 0.999938  th-err= 0.308855  test=      -nan  train= 0.0644000 
rnd  839: wh-err= 0.999944  th-err= 0.308837  test=      -nan  train= 0.0643000 
rnd  840: wh-err= 0.999941  th-err= 0.308819  test=      -nan  train= 0.0644000 
rnd  841: wh-err= 0.999931  th-err= 0.308798  test=      -nan  train= 0.0644000 
rnd  842: wh-err= 0.999931  th-err= 0.308777  test=      -nan  train= 0.0644000 
rnd  843: wh-err= 0.999941  th-err= 0.308759  test=      -nan  train= 0.0644000 
rnd  844: wh-err= 0.999945  th-err= 0.308742  test=      -nan  train= 0.0643000 
rnd  845: wh-err= 0.999941  th-err= 0.308724  test=      -nan  train= 0.0643000 
rnd  846: wh-err= 0.999944  th-err= 0.308707  test=      -nan  train= 0.0639000 
rnd  847: wh-err= 0.999946  th-err= 0.308690  test=      -nan  train= 0.0641000 
rnd  848: wh-err= 0.999935  th-err= 0.308670  test=      -nan  train= 0.0640000 
rnd  849: wh-err= 0.999944  th-err= 0.308652  test=      -nan  train= 0.0641000 
rnd  850: wh-err= 0.999984  th-err= 0.308647  test=      -nan  train= 0.0641000 
rnd  851: wh-err= 0.999985  th-err= 0.308643  test=      -nan  train= 0.0641000 
rnd  852: wh-err= 0.999949  th-err= 0.308627  test=      -nan  train= 0.0641000 
rnd  853: wh-err= 0.999948  th-err= 0.308611  test=      -nan  train= 0.0640000 
rnd  854: wh-err= 0.999985  th-err= 0.308606  test=      -nan  train= 0.0640000 
rnd  855: wh-err= 0.999950  th-err= 0.308591  test=      -nan  train= 0.0640000 
rnd  856: wh-err= 0.999921  th-err= 0.308567  test=      -nan  train= 0.0641000 
rnd  857: wh-err= 0.999934  th-err= 0.308546  test=      -nan  train= 0.0639000 
rnd  858: wh-err= 0.999938  th-err= 0.308527  test=      -nan  train= 0.0641000 
rnd  859: wh-err= 0.999908  th-err= 0.308499  test=      -nan  train= 0.0639000 
rnd  860: wh-err= 0.999935  th-err= 0.308479  test=      -nan  train= 0.0639000 
rnd  861: wh-err= 0.999943  th-err= 0.308461  test=      -nan  train= 0.0642000 
rnd  862: wh-err= 0.999925  th-err= 0.308438  test=      -nan  train= 0.0638000 
rnd  863: wh-err= 0.999943  th-err= 0.308421  test=      -nan  train= 0.0639000 
rnd  864: wh-err= 0.999947  th-err= 0.308404  test=      -nan  train= 0.0641000 
rnd  865: wh-err= 0.999946  th-err= 0.308388  test=      -nan  train= 0.0639000 
rnd  866: wh-err= 0.999927  th-err= 0.308365  test=      -nan  train= 0.0639000 
rnd  867: wh-err= 0.999946  th-err= 0.308349  test=      -nan  train= 0.0638000 
rnd  868: wh-err= 0.999948  th-err= 0.308333  test=      -nan  train= 0.0638000 
rnd  869: wh-err= 0.999947  th-err= 0.308316  test=      -nan  train= 0.0641000 
rnd  870: wh-err= 0.999946  th-err= 0.308300  test=      -nan  train= 0.0639000 
rnd  871: wh-err= 0.999944  th-err= 0.308282  test=      -nan  train= 0.0639000 
rnd  872: wh-err= 0.999915  th-err= 0.308256  test=      -nan  train= 0.0639000 
rnd  873: wh-err= 0.999940  th-err= 0.308238  test=      -nan  train= 0.0638000 
rnd  874: wh-err= 0.999943  th-err= 0.308220  test=      -nan  train= 0.0639000 
rnd  875: wh-err= 0.999941  th-err= 0.308202  test=      -nan  train= 0.0639000 
rnd  876: wh-err= 0.999943  th-err= 0.308184  test=      -nan  train= 0.0641000 
rnd  877: wh-err= 0.999944  th-err= 0.308167  test=      -nan  train= 0.0641000 
rnd  878: wh-err= 0.999938  th-err= 0.308148  test=      -nan  train= 0.0641000 
rnd  879: wh-err= 0.999946  th-err= 0.308132  test=      -nan  train= 0.0641000 
rnd  880: wh-err= 0.999941  th-err= 0.308113  test=      -nan  train= 0.0641000 
rnd  881: wh-err= 0.999941  th-err= 0.308095  test=      -nan  train= 0.0641000 
rnd  882: wh-err= 0.999931  th-err= 0.308074  test=      -nan  train= 0.0642000 
rnd  883: wh-err= 0.999898  th-err= 0.308042  test=      -nan  train= 0.0644000 
rnd  884: wh-err= 0.999924  th-err= 0.308019  test=      -nan  train= 0.0639000 
rnd  885: wh-err= 0.999928  th-err= 0.307997  test=      -nan  train= 0.0642000 
rnd  886: wh-err= 0.999938  th-err= 0.307977  test=      -nan  train= 0.0644000 
rnd  887: wh-err= 0.999933  th-err= 0.307957  test=      -nan  train= 0.0643000 
rnd  888: wh-err= 0.999931  th-err= 0.307936  test=      -nan  train= 0.0644000 
rnd  889: wh-err= 0.999941  th-err= 0.307918  test=      -nan  train= 0.0644000 
rnd  890: wh-err= 0.999930  th-err= 0.307896  test=      -nan  train= 0.0642000 
rnd  891: wh-err= 0.999946  th-err= 0.307879  test=      -nan  train= 0.0641000 
rnd  892: wh-err= 0.999951  th-err= 0.307864  test=      -nan  train= 0.0644000 
rnd  893: wh-err= 0.999934  th-err= 0.307844  test=      -nan  train= 0.0639000 
rnd  894: wh-err= 0.999946  th-err= 0.307827  test=      -nan  train= 0.0639000 
rnd  895: wh-err= 0.999905  th-err= 0.307798  test=      -nan  train= 0.0640000 
rnd  896: wh-err= 0.999935  th-err= 0.307778  test=      -nan  train= 0.0640000 
rnd  897: wh-err= 0.999941  th-err= 0.307760  test=      -nan  train= 0.0636000 
rnd  898: wh-err= 0.999926  th-err= 0.307737  test=      -nan  train= 0.0637000 
rnd  899: wh-err= 0.999914  th-err= 0.307711  test=      -nan  train= 0.0638000 
rnd  900: wh-err= 0.999936  th-err= 0.307691  test=      -nan  train= 0.0641000 
rnd  901: wh-err= 0.999899  th-err= 0.307660  test=      -nan  train= 0.0638000 
rnd  902: wh-err= 0.999924  th-err= 0.307637  test=      -nan  train= 0.0642000 
rnd  903: wh-err= 0.999936  th-err= 0.307617  test=      -nan  train= 0.0641000 
rnd  904: wh-err= 0.999940  th-err= 0.307599  test=      -nan  train= 0.0639000 
rnd  905: wh-err= 0.999921  th-err= 0.307574  test=      -nan  train= 0.0639000 
rnd  906: wh-err= 0.999934  th-err= 0.307554  test=      -nan  train= 0.0638000 
rnd  907: wh-err= 0.999931  th-err= 0.307533  test=      -nan  train= 0.0638000 
rnd  908: wh-err= 0.999939  th-err= 0.307514  test=      -nan  train= 0.0638000 
rnd  909: wh-err= 0.999939  th-err= 0.307495  test=      -nan  train= 0.0640000 
rnd  910: wh-err= 0.999942  th-err= 0.307477  test=      -nan  train= 0.0638000 
rnd  911: wh-err= 0.999937  th-err= 0.307458  test=      -nan  train= 0.0640000 
rnd  912: wh-err= 0.999949  th-err= 0.307442  test=      -nan  train= 0.0639000 
rnd  913: wh-err= 0.999946  th-err= 0.307425  test=      -nan  train= 0.0638000 
rnd  914: wh-err= 0.999948  th-err= 0.307409  test=      -nan  train= 0.0639000 
rnd  915: wh-err= 0.999918  th-err= 0.307384  test=      -nan  train= 0.0638000 
rnd  916: wh-err= 0.999934  th-err= 0.307364  test=      -nan  train= 0.0639000 
rnd  917: wh-err= 0.999935  th-err= 0.307344  test=      -nan  train= 0.0638000 
rnd  918: wh-err= 0.999949  th-err= 0.307328  test=      -nan  train= 0.0640000 
rnd  919: wh-err= 0.999941  th-err= 0.307310  test=      -nan  train= 0.0639000 
rnd  920: wh-err= 0.999942  th-err= 0.307292  test=      -nan  train= 0.0638000 
rnd  921: wh-err= 0.999919  th-err= 0.307268  test=      -nan  train= 0.0639000 
rnd  922: wh-err= 0.999947  th-err= 0.307251  test=      -nan  train= 0.0638000 
rnd  923: wh-err= 0.999940  th-err= 0.307233  test=      -nan  train= 0.0637000 
rnd  924: wh-err= 0.999941  th-err= 0.307215  test=      -nan  train= 0.0639000 
rnd  925: wh-err= 0.999935  th-err= 0.307195  test=      -nan  train= 0.0637000 
rnd  926: wh-err= 0.999935  th-err= 0.307175  test=      -nan  train= 0.0638000 
rnd  927: wh-err= 0.999943  th-err= 0.307157  test=      -nan  train= 0.0636000 
rnd  928: wh-err= 0.999916  th-err= 0.307131  test=      -nan  train= 0.0637000 
rnd  929: wh-err= 0.999944  th-err= 0.307114  test=      -nan  train= 0.0636000 
rnd  930: wh-err= 0.999927  th-err= 0.307092  test=      -nan  train= 0.0637000 
rnd  931: wh-err= 0.999931  th-err= 0.307071  test=      -nan  train= 0.0636000 
rnd  932: wh-err= 0.999933  th-err= 0.307050  test=      -nan  train= 0.0637000 
rnd  933: wh-err= 0.999944  th-err= 0.307033  test=      -nan  train= 0.0637000 
rnd  934: wh-err= 0.999917  th-err= 0.307008  test=      -nan  train= 0.0636000 
rnd  935: wh-err= 0.999938  th-err= 0.306989  test=      -nan  train= 0.0637000 
rnd  936: wh-err= 0.999925  th-err= 0.306966  test=      -nan  train= 0.0637000 
rnd  937: wh-err= 0.999920  th-err= 0.306941  test=      -nan  train= 0.0637000 
rnd  938: wh-err= 0.999941  th-err= 0.306923  test=      -nan  train= 0.0635000 
rnd  939: wh-err= 0.999892  th-err= 0.306890  test=      -nan  train= 0.0638000 
rnd  940: wh-err= 0.999944  th-err= 0.306873  test=      -nan  train= 0.0635000 
rnd  941: wh-err= 0.999948  th-err= 0.306857  test=      -nan  train= 0.0634000 
rnd  942: wh-err= 0.999946  th-err= 0.306841  test=      -nan  train= 0.0633000 
rnd  943: wh-err= 0.999942  th-err= 0.306823  test=      -nan  train= 0.0635000 
rnd  944: wh-err= 0.999938  th-err= 0.306804  test=      -nan  train= 0.0633000 
rnd  945: wh-err= 0.999944  th-err= 0.306787  test=      -nan  train= 0.0633000 
rnd  946: wh-err= 0.999946  th-err= 0.306770  test=      -nan  train= 0.0634000 
rnd  947: wh-err= 0.999949  th-err= 0.306754  test=      -nan  train= 0.0632000 
rnd  948: wh-err= 0.999958  th-err= 0.306742  test=      -nan  train= 0.0633000 
rnd  949: wh-err= 0.999943  th-err= 0.306724  test=      -nan  train= 0.0632000 
rnd  950: wh-err= 0.999982  th-err= 0.306719  test=      -nan  train= 0.0633000 
rnd  951: wh-err= 0.999986  th-err= 0.306714  test=      -nan  train= 0.0633000 
rnd  952: wh-err= 0.999952  th-err= 0.306700  test=      -nan  train= 0.0632000 
rnd  953: wh-err= 0.999948  th-err= 0.306684  test=      -nan  train= 0.0635000 
rnd  954: wh-err= 0.999916  th-err= 0.306658  test=      -nan  train= 0.0634000 
rnd  955: wh-err= 0.999899  th-err= 0.306627  test=      -nan  train= 0.0636000 
rnd  956: wh-err= 0.999942  th-err= 0.306609  test=      -nan  train= 0.0635000 
rnd  957: wh-err= 0.999951  th-err= 0.306594  test=      -nan  train= 0.0639000 
rnd  958: wh-err= 0.999941  th-err= 0.306576  test=      -nan  train= 0.0634000 
rnd  959: wh-err= 0.999948  th-err= 0.306560  test=      -nan  train= 0.0633000 
rnd  960: wh-err= 0.999949  th-err= 0.306544  test=      -nan  train= 0.0633000 
rnd  961: wh-err= 0.999948  th-err= 0.306528  test=      -nan  train= 0.0634000 
rnd  962: wh-err= 0.999986  th-err= 0.306524  test=      -nan  train= 0.0634000 
rnd  963: wh-err= 0.999986  th-err= 0.306520  test=      -nan  train= 0.0634000 
rnd  964: wh-err= 0.999987  th-err= 0.306516  test=      -nan  train= 0.0634000 
rnd  965: wh-err= 0.999953  th-err= 0.306501  test=      -nan  train= 0.0635000 
rnd  966: wh-err= 0.999927  th-err= 0.306479  test=      -nan  train= 0.0635000 
rnd  967: wh-err= 0.999946  th-err= 0.306462  test=      -nan  train= 0.0634000 
rnd  968: wh-err= 0.999939  th-err= 0.306444  test=      -nan  train= 0.0636000 
rnd  969: wh-err= 0.999942  th-err= 0.306426  test=      -nan  train= 0.0637000 
rnd  970: wh-err= 0.999936  th-err= 0.306406  test=      -nan  train= 0.0635000 
rnd  971: wh-err= 0.999949  th-err= 0.306391  test=      -nan  train= 0.0635000 
rnd  972: wh-err= 0.999951  th-err= 0.306376  test=      -nan  train= 0.0635000 
rnd  973: wh-err= 0.999953  th-err= 0.306362  test=      -nan  train= 0.0634000 
rnd  974: wh-err= 0.999945  th-err= 0.306345  test=      -nan  train= 0.0636000 
rnd  975: wh-err= 0.999941  th-err= 0.306327  test=      -nan  train= 0.0637000 
rnd  976: wh-err= 0.999935  th-err= 0.306307  test=      -nan  train= 0.0636000 
rnd  977: wh-err= 0.999944  th-err= 0.306290  test=      -nan  train= 0.0636000 
rnd  978: wh-err= 0.999942  th-err= 0.306272  test=      -nan  train= 0.0638000 
rnd  979: wh-err= 0.999932  th-err= 0.306251  test=      -nan  train= 0.0638000 
rnd  980: wh-err= 0.999954  th-err= 0.306237  test=      -nan  train= 0.0638000 
rnd  981: wh-err= 0.999936  th-err= 0.306217  test=      -nan  train= 0.0637000 
rnd  982: wh-err= 0.999951  th-err= 0.306202  test=      -nan  train= 0.0639000 
rnd  983: wh-err= 0.999933  th-err= 0.306182  test=      -nan  train= 0.0638000 
rnd  984: wh-err= 0.999937  th-err= 0.306162  test=      -nan  train= 0.0639000 
rnd  985: wh-err= 0.999940  th-err= 0.306144  test=      -nan  train= 0.0638000 
rnd  986: wh-err= 0.999943  th-err= 0.306126  test=      -nan  train= 0.0639000 
rnd  987: wh-err= 0.999943  th-err= 0.306109  test=      -nan  train= 0.0640000 
rnd  988: wh-err= 0.999943  th-err= 0.306091  test=      -nan  train= 0.0638000 
rnd  989: wh-err= 0.999938  th-err= 0.306072  test=      -nan  train= 0.0639000 
rnd  990: wh-err= 0.999941  th-err= 0.306054  test=      -nan  train= 0.0638000 
rnd  991: wh-err= 0.999944  th-err= 0.306037  test=      -nan  train= 0.0640000 
rnd  992: wh-err= 0.999947  th-err= 0.306021  test=      -nan  train= 0.0638000 
rnd  993: wh-err= 0.999945  th-err= 0.306004  test=      -nan  train= 0.0638000 
rnd  994: wh-err= 0.999947  th-err= 0.305988  test=      -nan  train= 0.0637000 
rnd  995: wh-err= 0.999951  th-err= 0.305973  test=      -nan  train= 0.0635000 
rnd  996: wh-err= 0.999933  th-err= 0.305952  test=      -nan  train= 0.0637000 
rnd  997: wh-err= 0.999945  th-err= 0.305935  test=      -nan  train= 0.0636000 
rnd  998: wh-err= 0.999954  th-err= 0.305921  test=      -nan  train= 0.0635000 
rnd  999: wh-err= 0.999949  th-err= 0.305906  test=      -nan  train= 0.0636000 
rnd 1000: wh-err= 0.999952  th-err= 0.305891  test=      -nan  train= 0.0635000 
=== END program2: ./run learn ../program1/data --- OK [259s]
=== END program1: ./run learn ../dataset3/train --- OK [261s]

===== MAIN: predict/evaluate on train data =====
=== START program4: ./run stripLabels ../dataset3/train ../program0/evalTrain.in
=== END program4: ./run stripLabels ../dataset3/train ../program0/evalTrain.in --- OK [0s]
=== START program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out
=== START program2: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out.multiclass-output
Copyright 2001 AT&T.  All rights reserved.



Test error = 10000.000000 / 10000 = 1.000000
=== END program2: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out.multiclass-output --- OK [7s]
=== END program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out --- OK [8s]
=== START program5: ./run evaluate ../dataset3/train ../program0/evalTrain.out
=== END program5: ./run evaluate ../dataset3/train ../program0/evalTrain.out --- OK [1s]

===== MAIN: predict/evaluate on test data =====
=== START program4: ./run stripLabels ../dataset3/test ../program0/evalTest.in
=== END program4: ./run stripLabels ../dataset3/test ../program0/evalTest.in --- OK [0s]
=== START program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out
=== START program2: ./run predict ../program0/evalTest.in ../program0/evalTest.out.multiclass-output
Copyright 2001 AT&T.  All rights reserved.



Test error = 4000.000000 / 4000 = 1.000000
=== END program2: ./run predict ../program0/evalTest.in ../program0/evalTest.out.multiclass-output --- OK [3s]
=== END program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out --- OK [3s]
=== START program5: ./run evaluate ../dataset3/test ../program0/evalTest.out
=== END program5: ./run evaluate ../dataset3/test ../program0/evalTest.out --- OK [1s]


real	4m34.551s
user	4m26.925s
sys	0m3.184s

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