ServerRun 39435
Creatorchuertas
Programboostexter no-awk
DatasetLos tres mosqueteros
Task typeMulticlassClassification
Created2y156d ago
Done! Flag_green
25s
35M
MulticlassClassification
28s
0.055
2s
0.047
1s

Log file

... (lines omitted) ...
rnd  633: wh-err= 0.999996  th-err= 0.282691  test=      -nan  train= 0.0550721 
rnd  634: wh-err= 0.999996  th-err= 0.282690  test=      -nan  train= 0.0550721 
rnd  635: wh-err= 0.999996  th-err= 0.282688  test=      -nan  train= 0.0550721 
rnd  636: wh-err= 0.999996  th-err= 0.282687  test=      -nan  train= 0.0550721 
rnd  637: wh-err= 0.999996  th-err= 0.282686  test=      -nan  train= 0.0550721 
rnd  638: wh-err= 0.999996  th-err= 0.282685  test=      -nan  train= 0.0550721 
rnd  639: wh-err= 0.999996  th-err= 0.282684  test=      -nan  train= 0.0550721 
rnd  640: wh-err= 0.999996  th-err= 0.282682  test=      -nan  train= 0.0550721 
rnd  641: wh-err= 0.999996  th-err= 0.282681  test=      -nan  train= 0.0550721 
rnd  642: wh-err= 0.999996  th-err= 0.282680  test=      -nan  train= 0.0550721 
rnd  643: wh-err= 0.999996  th-err= 0.282679  test=      -nan  train= 0.0550721 
rnd  644: wh-err= 0.999996  th-err= 0.282678  test=      -nan  train= 0.0550721 
rnd  645: wh-err= 0.999996  th-err= 0.282677  test=      -nan  train= 0.0550721 
rnd  646: wh-err= 0.999996  th-err= 0.282675  test=      -nan  train= 0.0550721 
rnd  647: wh-err= 0.999996  th-err= 0.282674  test=      -nan  train= 0.0550721 
rnd  648: wh-err= 0.999996  th-err= 0.282673  test=      -nan  train= 0.0550721 
rnd  649: wh-err= 0.999996  th-err= 0.282672  test=      -nan  train= 0.0550721 
rnd  650: wh-err= 0.999996  th-err= 0.282671  test=      -nan  train= 0.0550721 
rnd  651: wh-err= 0.999996  th-err= 0.282670  test=      -nan  train= 0.0550721 
rnd  652: wh-err= 0.999974  th-err= 0.282662  test=      -nan  train= 0.0550721 
rnd  653: wh-err= 0.999996  th-err= 0.282661  test=      -nan  train= 0.0550721 
rnd  654: wh-err= 0.999974  th-err= 0.282654  test=      -nan  train= 0.0550721 
rnd  655: wh-err= 0.999965  th-err= 0.282644  test=      -nan  train= 0.0550721 
rnd  656: wh-err= 0.999996  th-err= 0.282643  test=      -nan  train= 0.0550721 
rnd  657: wh-err= 0.999996  th-err= 0.282642  test=      -nan  train= 0.0550721 
rnd  658: wh-err= 0.999996  th-err= 0.282641  test=      -nan  train= 0.0550721 
rnd  659: wh-err= 0.999996  th-err= 0.282640  test=      -nan  train= 0.0550721 
rnd  660: wh-err= 0.999996  th-err= 0.282639  test=      -nan  train= 0.0550721 
rnd  661: wh-err= 0.999996  th-err= 0.282638  test=      -nan  train= 0.0550721 
rnd  662: wh-err= 0.999975  th-err= 0.282631  test=      -nan  train= 0.0550721 
rnd  663: wh-err= 0.999996  th-err= 0.282630  test=      -nan  train= 0.0550721 
rnd  664: wh-err= 0.999996  th-err= 0.282629  test=      -nan  train= 0.0550721 
rnd  665: wh-err= 0.999996  th-err= 0.282628  test=      -nan  train= 0.0550721 
rnd  666: wh-err= 0.999996  th-err= 0.282627  test=      -nan  train= 0.0550721 
rnd  667: wh-err= 0.999996  th-err= 0.282626  test=      -nan  train= 0.0550721 
rnd  668: wh-err= 0.999996  th-err= 0.282625  test=      -nan  train= 0.0550721 
rnd  669: wh-err= 0.999996  th-err= 0.282624  test=      -nan  train= 0.0550721 
rnd  670: wh-err= 0.999997  th-err= 0.282623  test=      -nan  train= 0.0550721 
rnd  671: wh-err= 0.999997  th-err= 0.282622  test=      -nan  train= 0.0550721 
rnd  672: wh-err= 0.999997  th-err= 0.282621  test=      -nan  train= 0.0550721 
rnd  673: wh-err= 0.999997  th-err= 0.282620  test=      -nan  train= 0.0550721 
rnd  674: wh-err= 0.999976  th-err= 0.282613  test=      -nan  train= 0.0550721 
rnd  675: wh-err= 0.999961  th-err= 0.282602  test=      -nan  train= 0.0550721 
rnd  676: wh-err= 0.999970  th-err= 0.282593  test=      -nan  train= 0.0550721 
rnd  677: wh-err= 0.999953  th-err= 0.282580  test=      -nan  train= 0.0550721 
rnd  678: wh-err= 0.999971  th-err= 0.282572  test=      -nan  train= 0.0550721 
rnd  679: wh-err= 0.999968  th-err= 0.282563  test=      -nan  train= 0.0550721 
rnd  680: wh-err= 0.999970  th-err= 0.282554  test=      -nan  train= 0.0550721 
rnd  681: wh-err= 0.999971  th-err= 0.282546  test=      -nan  train= 0.0550721 
rnd  682: wh-err= 0.999957  th-err= 0.282534  test=      -nan  train= 0.0550721 
rnd  683: wh-err= 0.999974  th-err= 0.282527  test=      -nan  train= 0.0550721 
rnd  684: wh-err= 0.999975  th-err= 0.282520  test=      -nan  train= 0.0550721 
rnd  685: wh-err= 0.999997  th-err= 0.282519  test=      -nan  train= 0.0550721 
rnd  686: wh-err= 0.999997  th-err= 0.282518  test=      -nan  train= 0.0550721 
rnd  687: wh-err= 0.999976  th-err= 0.282511  test=      -nan  train= 0.0550721 
rnd  688: wh-err= 0.999997  th-err= 0.282510  test=      -nan  train= 0.0550721 
rnd  689: wh-err= 0.999997  th-err= 0.282509  test=      -nan  train= 0.0550721 
rnd  690: wh-err= 0.999997  th-err= 0.282508  test=      -nan  train= 0.0550721 
rnd  691: wh-err= 0.999997  th-err= 0.282507  test=      -nan  train= 0.0550721 
rnd  692: wh-err= 0.999997  th-err= 0.282506  test=      -nan  train= 0.0550721 
rnd  693: wh-err= 0.999997  th-err= 0.282506  test=      -nan  train= 0.0550721 
rnd  694: wh-err= 0.999997  th-err= 0.282505  test=      -nan  train= 0.0550721 
rnd  695: wh-err= 0.999997  th-err= 0.282504  test=      -nan  train= 0.0550721 
rnd  696: wh-err= 0.999997  th-err= 0.282503  test=      -nan  train= 0.0550721 
rnd  697: wh-err= 0.999997  th-err= 0.282502  test=      -nan  train= 0.0550721 
rnd  698: wh-err= 0.999997  th-err= 0.282501  test=      -nan  train= 0.0550721 
rnd  699: wh-err= 0.999997  th-err= 0.282500  test=      -nan  train= 0.0550721 
rnd  700: wh-err= 0.999997  th-err= 0.282499  test=      -nan  train= 0.0550721 
rnd  701: wh-err= 0.999997  th-err= 0.282498  test=      -nan  train= 0.0550721 
rnd  702: wh-err= 0.999977  th-err= 0.282492  test=      -nan  train= 0.0550721 
rnd  703: wh-err= 0.999997  th-err= 0.282491  test=      -nan  train= 0.0550721 
rnd  704: wh-err= 0.999997  th-err= 0.282490  test=      -nan  train= 0.0550721 
rnd  705: wh-err= 0.999997  th-err= 0.282489  test=      -nan  train= 0.0550721 
rnd  706: wh-err= 0.999997  th-err= 0.282488  test=      -nan  train= 0.0550721 
rnd  707: wh-err= 0.999997  th-err= 0.282487  test=      -nan  train= 0.0550721 
rnd  708: wh-err= 0.999997  th-err= 0.282486  test=      -nan  train= 0.0550721 
rnd  709: wh-err= 0.999997  th-err= 0.282486  test=      -nan  train= 0.0550721 
rnd  710: wh-err= 0.999997  th-err= 0.282485  test=      -nan  train= 0.0550721 
rnd  711: wh-err= 0.999997  th-err= 0.282484  test=      -nan  train= 0.0550721 
rnd  712: wh-err= 0.999977  th-err= 0.282477  test=      -nan  train= 0.0550721 
rnd  713: wh-err= 0.999968  th-err= 0.282468  test=      -nan  train= 0.0550721 
rnd  714: wh-err= 0.999969  th-err= 0.282460  test=      -nan  train= 0.0550721 
rnd  715: wh-err= 0.999971  th-err= 0.282451  test=      -nan  train= 0.0550721 
rnd  716: wh-err= 0.999972  th-err= 0.282444  test=      -nan  train= 0.0550721 
rnd  717: wh-err= 0.999974  th-err= 0.282436  test=      -nan  train= 0.0550721 
rnd  718: wh-err= 0.999975  th-err= 0.282429  test=      -nan  train= 0.0550721 
rnd  719: wh-err= 0.999976  th-err= 0.282422  test=      -nan  train= 0.0550721 
rnd  720: wh-err= 0.999977  th-err= 0.282416  test=      -nan  train= 0.0550721 
rnd  721: wh-err= 0.999977  th-err= 0.282409  test=      -nan  train= 0.0550721 
rnd  722: wh-err= 0.999997  th-err= 0.282408  test=      -nan  train= 0.0550721 
rnd  723: wh-err= 0.999997  th-err= 0.282407  test=      -nan  train= 0.0550721 
rnd  724: wh-err= 0.999997  th-err= 0.282407  test=      -nan  train= 0.0550721 
rnd  725: wh-err= 0.999997  th-err= 0.282406  test=      -nan  train= 0.0550721 
rnd  726: wh-err= 0.999997  th-err= 0.282405  test=      -nan  train= 0.0550721 
rnd  727: wh-err= 0.999997  th-err= 0.282404  test=      -nan  train= 0.0550721 
rnd  728: wh-err= 0.999997  th-err= 0.282403  test=      -nan  train= 0.0550721 
rnd  729: wh-err= 0.999997  th-err= 0.282403  test=      -nan  train= 0.0550721 
rnd  730: wh-err= 0.999997  th-err= 0.282402  test=      -nan  train= 0.0550721 
rnd  731: wh-err= 0.999978  th-err= 0.282396  test=      -nan  train= 0.0550721 
rnd  732: wh-err= 0.999997  th-err= 0.282395  test=      -nan  train= 0.0550721 
rnd  733: wh-err= 0.999997  th-err= 0.282394  test=      -nan  train= 0.0550721 
rnd  734: wh-err= 0.999979  th-err= 0.282388  test=      -nan  train= 0.0550721 
rnd  735: wh-err= 0.999997  th-err= 0.282387  test=      -nan  train= 0.0550721 
rnd  736: wh-err= 0.999997  th-err= 0.282387  test=      -nan  train= 0.0550721 
rnd  737: wh-err= 0.999997  th-err= 0.282386  test=      -nan  train= 0.0550721 
rnd  738: wh-err= 0.999997  th-err= 0.282385  test=      -nan  train= 0.0550721 
rnd  739: wh-err= 0.999997  th-err= 0.282384  test=      -nan  train= 0.0550721 
rnd  740: wh-err= 0.999997  th-err= 0.282384  test=      -nan  train= 0.0550721 
rnd  741: wh-err= 0.999997  th-err= 0.282383  test=      -nan  train= 0.0550721 
rnd  742: wh-err= 0.999997  th-err= 0.282382  test=      -nan  train= 0.0550721 
rnd  743: wh-err= 0.999997  th-err= 0.282381  test=      -nan  train= 0.0550721 
rnd  744: wh-err= 0.999997  th-err= 0.282381  test=      -nan  train= 0.0550721 
rnd  745: wh-err= 0.999997  th-err= 0.282380  test=      -nan  train= 0.0550721 
rnd  746: wh-err= 0.999997  th-err= 0.282379  test=      -nan  train= 0.0550721 
rnd  747: wh-err= 0.999997  th-err= 0.282379  test=      -nan  train= 0.0550721 
rnd  748: wh-err= 0.999997  th-err= 0.282378  test=      -nan  train= 0.0550721 
rnd  749: wh-err= 0.999980  th-err= 0.282372  test=      -nan  train= 0.0550721 
rnd  750: wh-err= 0.999997  th-err= 0.282371  test=      -nan  train= 0.0550721 
rnd  751: wh-err= 0.999997  th-err= 0.282371  test=      -nan  train= 0.0550721 
rnd  752: wh-err= 0.999998  th-err= 0.282370  test=      -nan  train= 0.0550721 
rnd  753: wh-err= 0.999998  th-err= 0.282369  test=      -nan  train= 0.0550721 
rnd  754: wh-err= 0.999998  th-err= 0.282369  test=      -nan  train= 0.0550721 
rnd  755: wh-err= 0.999998  th-err= 0.282368  test=      -nan  train= 0.0550721 
rnd  756: wh-err= 0.999998  th-err= 0.282367  test=      -nan  train= 0.0550721 
rnd  757: wh-err= 0.999998  th-err= 0.282366  test=      -nan  train= 0.0550721 
rnd  758: wh-err= 0.999998  th-err= 0.282366  test=      -nan  train= 0.0550721 
rnd  759: wh-err= 0.999998  th-err= 0.282365  test=      -nan  train= 0.0550721 
rnd  760: wh-err= 0.999998  th-err= 0.282364  test=      -nan  train= 0.0550721 
rnd  761: wh-err= 0.999998  th-err= 0.282364  test=      -nan  train= 0.0550721 
rnd  762: wh-err= 0.999998  th-err= 0.282363  test=      -nan  train= 0.0550721 
rnd  763: wh-err= 0.999998  th-err= 0.282362  test=      -nan  train= 0.0550721 
rnd  764: wh-err= 0.999998  th-err= 0.282362  test=      -nan  train= 0.0550721 
rnd  765: wh-err= 0.999998  th-err= 0.282361  test=      -nan  train= 0.0550721 
rnd  766: wh-err= 0.999998  th-err= 0.282360  test=      -nan  train= 0.0550721 
rnd  767: wh-err= 0.999998  th-err= 0.282360  test=      -nan  train= 0.0550721 
rnd  768: wh-err= 0.999998  th-err= 0.282359  test=      -nan  train= 0.0550721 
rnd  769: wh-err= 0.999998  th-err= 0.282358  test=      -nan  train= 0.0550721 
rnd  770: wh-err= 0.999998  th-err= 0.282358  test=      -nan  train= 0.0550721 
rnd  771: wh-err= 0.999998  th-err= 0.282357  test=      -nan  train= 0.0550721 
rnd  772: wh-err= 0.999980  th-err= 0.282351  test=      -nan  train= 0.0550721 
rnd  773: wh-err= 0.999998  th-err= 0.282351  test=      -nan  train= 0.0550721 
rnd  774: wh-err= 0.999998  th-err= 0.282350  test=      -nan  train= 0.0550721 
rnd  775: wh-err= 0.999998  th-err= 0.282349  test=      -nan  train= 0.0550721 
rnd  776: wh-err= 0.999998  th-err= 0.282349  test=      -nan  train= 0.0550721 
rnd  777: wh-err= 0.999998  th-err= 0.282348  test=      -nan  train= 0.0550721 
rnd  778: wh-err= 0.999998  th-err= 0.282348  test=      -nan  train= 0.0550721 
rnd  779: wh-err= 0.999998  th-err= 0.282347  test=      -nan  train= 0.0550721 
rnd  780: wh-err= 0.999998  th-err= 0.282346  test=      -nan  train= 0.0550721 
rnd  781: wh-err= 0.999981  th-err= 0.282341  test=      -nan  train= 0.0550721 
rnd  782: wh-err= 0.999998  th-err= 0.282340  test=      -nan  train= 0.0550721 
rnd  783: wh-err= 0.999998  th-err= 0.282340  test=      -nan  train= 0.0550721 
rnd  784: wh-err= 0.999998  th-err= 0.282339  test=      -nan  train= 0.0550721 
rnd  785: wh-err= 0.999998  th-err= 0.282339  test=      -nan  train= 0.0550721 
rnd  786: wh-err= 0.999998  th-err= 0.282338  test=      -nan  train= 0.0550721 
rnd  787: wh-err= 0.999998  th-err= 0.282337  test=      -nan  train= 0.0550721 
rnd  788: wh-err= 0.999998  th-err= 0.282337  test=      -nan  train= 0.0550721 
rnd  789: wh-err= 0.999998  th-err= 0.282336  test=      -nan  train= 0.0550721 
rnd  790: wh-err= 0.999998  th-err= 0.282336  test=      -nan  train= 0.0550721 
rnd  791: wh-err= 0.999998  th-err= 0.282335  test=      -nan  train= 0.0550721 
rnd  792: wh-err= 0.999998  th-err= 0.282335  test=      -nan  train= 0.0550721 
rnd  793: wh-err= 0.999982  th-err= 0.282329  test=      -nan  train= 0.0550721 
rnd  794: wh-err= 0.999982  th-err= 0.282324  test=      -nan  train= 0.0550721 
rnd  795: wh-err= 0.999978  th-err= 0.282318  test=      -nan  train= 0.0550721 
rnd  796: wh-err= 0.999967  th-err= 0.282309  test=      -nan  train= 0.0550721 
rnd  797: wh-err= 0.999979  th-err= 0.282303  test=      -nan  train= 0.0550721 
rnd  798: wh-err= 0.999981  th-err= 0.282297  test=      -nan  train= 0.0550721 
rnd  799: wh-err= 0.999982  th-err= 0.282292  test=      -nan  train= 0.0550721 
rnd  800: wh-err= 0.999998  th-err= 0.282292  test=      -nan  train= 0.0550721 
rnd  801: wh-err= 0.999998  th-err= 0.282291  test=      -nan  train= 0.0550721 
rnd  802: wh-err= 0.999998  th-err= 0.282291  test=      -nan  train= 0.0550721 
rnd  803: wh-err= 0.999998  th-err= 0.282290  test=      -nan  train= 0.0550721 
rnd  804: wh-err= 0.999998  th-err= 0.282289  test=      -nan  train= 0.0550721 
rnd  805: wh-err= 0.999982  th-err= 0.282284  test=      -nan  train= 0.0550721 
rnd  806: wh-err= 0.999979  th-err= 0.282279  test=      -nan  train= 0.0550721 
rnd  807: wh-err= 0.999964  th-err= 0.282268  test=      -nan  train= 0.0550721 
rnd  808: wh-err= 0.999967  th-err= 0.282259  test=      -nan  train= 0.0550721 
rnd  809: wh-err= 0.999969  th-err= 0.282250  test=      -nan  train= 0.0550721 
rnd  810: wh-err= 0.999971  th-err= 0.282242  test=      -nan  train= 0.0550721 
rnd  811: wh-err= 0.999973  th-err= 0.282235  test=      -nan  train= 0.0550721 
rnd  812: wh-err= 0.999975  th-err= 0.282228  test=      -nan  train= 0.0550721 
rnd  813: wh-err= 0.999976  th-err= 0.282221  test=      -nan  train= 0.0550721 
rnd  814: wh-err= 0.999976  th-err= 0.282214  test=      -nan  train= 0.0550721 
rnd  815: wh-err= 0.999975  th-err= 0.282207  test=      -nan  train= 0.0550721 
rnd  816: wh-err= 0.999976  th-err= 0.282200  test=      -nan  train= 0.0550721 
rnd  817: wh-err= 0.999979  th-err= 0.282194  test=      -nan  train= 0.0550721 
rnd  818: wh-err= 0.999973  th-err= 0.282187  test=      -nan  train= 0.0552081 
rnd  819: wh-err= 0.999974  th-err= 0.282179  test=      -nan  train= 0.0550721 
rnd  820: wh-err= 0.999973  th-err= 0.282172  test=      -nan  train= 0.0550721 
rnd  821: wh-err= 0.999979  th-err= 0.282166  test=      -nan  train= 0.0550721 
rnd  822: wh-err= 0.999979  th-err= 0.282160  test=      -nan  train= 0.0550721 
rnd  823: wh-err= 0.999976  th-err= 0.282153  test=      -nan  train= 0.0550721 
rnd  824: wh-err= 0.999978  th-err= 0.282147  test=      -nan  train= 0.0548001 
rnd  825: wh-err= 0.999969  th-err= 0.282138  test=      -nan  train= 0.0548001 
rnd  826: wh-err= 0.999972  th-err= 0.282131  test=      -nan  train= 0.0548001 
rnd  827: wh-err= 0.999974  th-err= 0.282123  test=      -nan  train= 0.0548001 
rnd  828: wh-err= 0.999975  th-err= 0.282116  test=      -nan  train= 0.0548001 
rnd  829: wh-err= 0.999976  th-err= 0.282109  test=      -nan  train= 0.0548001 
rnd  830: wh-err= 0.999977  th-err= 0.282103  test=      -nan  train= 0.0548001 
rnd  831: wh-err= 0.999978  th-err= 0.282097  test=      -nan  train= 0.0548001 
rnd  832: wh-err= 0.999979  th-err= 0.282091  test=      -nan  train= 0.0548001 
rnd  833: wh-err= 0.999980  th-err= 0.282086  test=      -nan  train= 0.0548001 
rnd  834: wh-err= 0.999981  th-err= 0.282080  test=      -nan  train= 0.0548001 
rnd  835: wh-err= 0.999998  th-err= 0.282080  test=      -nan  train= 0.0548001 
rnd  836: wh-err= 0.999982  th-err= 0.282075  test=      -nan  train= 0.0548001 
rnd  837: wh-err= 0.999982  th-err= 0.282070  test=      -nan  train= 0.0548001 
rnd  838: wh-err= 0.999979  th-err= 0.282064  test=      -nan  train= 0.0548001 
rnd  839: wh-err= 0.999980  th-err= 0.282058  test=      -nan  train= 0.0548001 
rnd  840: wh-err= 0.999981  th-err= 0.282053  test=      -nan  train= 0.0548001 
rnd  841: wh-err= 0.999981  th-err= 0.282047  test=      -nan  train= 0.0548001 
rnd  842: wh-err= 0.999966  th-err= 0.282037  test=      -nan  train= 0.0548001 
rnd  843: wh-err= 0.999974  th-err= 0.282030  test=      -nan  train= 0.0548001 
rnd  844: wh-err= 0.999977  th-err= 0.282024  test=      -nan  train= 0.0548001 
rnd  845: wh-err= 0.999976  th-err= 0.282017  test=      -nan  train= 0.0548001 
rnd  846: wh-err= 0.999980  th-err= 0.282011  test=      -nan  train= 0.0549361 
rnd  847: wh-err= 0.999978  th-err= 0.282005  test=      -nan  train= 0.0549361 
rnd  848: wh-err= 0.999979  th-err= 0.281999  test=      -nan  train= 0.0549361 
rnd  849: wh-err= 0.999958  th-err= 0.281987  test=      -nan  train= 0.0548001 
rnd  850: wh-err= 0.999978  th-err= 0.281981  test=      -nan  train= 0.0549361 
rnd  851: wh-err= 0.999977  th-err= 0.281974  test=      -nan  train= 0.0549361 
rnd  852: wh-err= 0.999998  th-err= 0.281974  test=      -nan  train= 0.0549361 
rnd  853: wh-err= 0.999998  th-err= 0.281973  test=      -nan  train= 0.0549361 
rnd  854: wh-err= 0.999998  th-err= 0.281973  test=      -nan  train= 0.0549361 
rnd  855: wh-err= 0.999998  th-err= 0.281972  test=      -nan  train= 0.0549361 
rnd  856: wh-err= 0.999998  th-err= 0.281972  test=      -nan  train= 0.0549361 
rnd  857: wh-err= 0.999998  th-err= 0.281971  test=      -nan  train= 0.0549361 
rnd  858: wh-err= 0.999998  th-err= 0.281971  test=      -nan  train= 0.0549361 
rnd  859: wh-err= 0.999998  th-err= 0.281970  test=      -nan  train= 0.0549361 
rnd  860: wh-err= 0.999998  th-err= 0.281969  test=      -nan  train= 0.0549361 
rnd  861: wh-err= 0.999998  th-err= 0.281969  test=      -nan  train= 0.0549361 
rnd  862: wh-err= 0.999998  th-err= 0.281968  test=      -nan  train= 0.0549361 
rnd  863: wh-err= 0.999998  th-err= 0.281968  test=      -nan  train= 0.0549361 
rnd  864: wh-err= 0.999998  th-err= 0.281967  test=      -nan  train= 0.0549361 
rnd  865: wh-err= 0.999998  th-err= 0.281967  test=      -nan  train= 0.0549361 
rnd  866: wh-err= 0.999998  th-err= 0.281966  test=      -nan  train= 0.0549361 
rnd  867: wh-err= 0.999998  th-err= 0.281966  test=      -nan  train= 0.0549361 
rnd  868: wh-err= 0.999998  th-err= 0.281965  test=      -nan  train= 0.0549361 
rnd  869: wh-err= 0.999998  th-err= 0.281965  test=      -nan  train= 0.0549361 
rnd  870: wh-err= 0.999998  th-err= 0.281964  test=      -nan  train= 0.0549361 
rnd  871: wh-err= 0.999983  th-err= 0.281959  test=      -nan  train= 0.0549361 
rnd  872: wh-err= 0.999978  th-err= 0.281953  test=      -nan  train= 0.0549361 
rnd  873: wh-err= 0.999977  th-err= 0.281947  test=      -nan  train= 0.0549361 
rnd  874: wh-err= 0.999982  th-err= 0.281942  test=      -nan  train= 0.0548001 
rnd  875: wh-err= 0.999975  th-err= 0.281935  test=      -nan  train= 0.0549361 
rnd  876: wh-err= 0.999978  th-err= 0.281928  test=      -nan  train= 0.0548001 
rnd  877: wh-err= 0.999980  th-err= 0.281923  test=      -nan  train= 0.0549361 
rnd  878: wh-err= 0.999980  th-err= 0.281917  test=      -nan  train= 0.0548001 
rnd  879: wh-err= 0.999998  th-err= 0.281917  test=      -nan  train= 0.0548001 
rnd  880: wh-err= 0.999998  th-err= 0.281916  test=      -nan  train= 0.0548001 
rnd  881: wh-err= 0.999998  th-err= 0.281916  test=      -nan  train= 0.0548001 
rnd  882: wh-err= 0.999998  th-err= 0.281915  test=      -nan  train= 0.0548001 
rnd  883: wh-err= 0.999998  th-err= 0.281915  test=      -nan  train= 0.0548001 
rnd  884: wh-err= 0.999998  th-err= 0.281914  test=      -nan  train= 0.0548001 
rnd  885: wh-err= 0.999998  th-err= 0.281914  test=      -nan  train= 0.0548001 
rnd  886: wh-err= 0.999998  th-err= 0.281913  test=      -nan  train= 0.0548001 
rnd  887: wh-err= 0.999998  th-err= 0.281913  test=      -nan  train= 0.0548001 
rnd  888: wh-err= 0.999998  th-err= 0.281912  test=      -nan  train= 0.0548001 
rnd  889: wh-err= 0.999998  th-err= 0.281912  test=      -nan  train= 0.0548001 
rnd  890: wh-err= 0.999998  th-err= 0.281911  test=      -nan  train= 0.0548001 
rnd  891: wh-err= 0.999998  th-err= 0.281911  test=      -nan  train= 0.0548001 
rnd  892: wh-err= 0.999998  th-err= 0.281910  test=      -nan  train= 0.0548001 
rnd  893: wh-err= 0.999998  th-err= 0.281910  test=      -nan  train= 0.0548001 
rnd  894: wh-err= 0.999984  th-err= 0.281905  test=      -nan  train= 0.0548001 
rnd  895: wh-err= 0.999978  th-err= 0.281899  test=      -nan  train= 0.0548001 
rnd  896: wh-err= 0.999979  th-err= 0.281893  test=      -nan  train= 0.0548001 
rnd  897: wh-err= 0.999998  th-err= 0.281893  test=      -nan  train= 0.0548001 
rnd  898: wh-err= 0.999984  th-err= 0.281888  test=      -nan  train= 0.0548001 
rnd  899: wh-err= 0.999982  th-err= 0.281883  test=      -nan  train= 0.0548001 
rnd  900: wh-err= 0.999983  th-err= 0.281878  test=      -nan  train= 0.0548001 
rnd  901: wh-err= 0.999979  th-err= 0.281872  test=      -nan  train= 0.0548001 
rnd  902: wh-err= 0.999983  th-err= 0.281867  test=      -nan  train= 0.0548001 
rnd  903: wh-err= 0.999998  th-err= 0.281867  test=      -nan  train= 0.0548001 
rnd  904: wh-err= 0.999998  th-err= 0.281866  test=      -nan  train= 0.0548001 
rnd  905: wh-err= 0.999998  th-err= 0.281866  test=      -nan  train= 0.0548001 
rnd  906: wh-err= 0.999998  th-err= 0.281866  test=      -nan  train= 0.0548001 
rnd  907: wh-err= 0.999998  th-err= 0.281865  test=      -nan  train= 0.0548001 
rnd  908: wh-err= 0.999998  th-err= 0.281865  test=      -nan  train= 0.0548001 
rnd  909: wh-err= 0.999998  th-err= 0.281864  test=      -nan  train= 0.0548001 
rnd  910: wh-err= 0.999998  th-err= 0.281864  test=      -nan  train= 0.0548001 
rnd  911: wh-err= 0.999998  th-err= 0.281863  test=      -nan  train= 0.0548001 
rnd  912: wh-err= 0.999998  th-err= 0.281863  test=      -nan  train= 0.0548001 
rnd  913: wh-err= 0.999998  th-err= 0.281862  test=      -nan  train= 0.0548001 
rnd  914: wh-err= 0.999998  th-err= 0.281862  test=      -nan  train= 0.0548001 
rnd  915: wh-err= 0.999998  th-err= 0.281861  test=      -nan  train= 0.0548001 
rnd  916: wh-err= 0.999998  th-err= 0.281861  test=      -nan  train= 0.0548001 
rnd  917: wh-err= 0.999998  th-err= 0.281861  test=      -nan  train= 0.0548001 
rnd  918: wh-err= 0.999998  th-err= 0.281860  test=      -nan  train= 0.0548001 
rnd  919: wh-err= 0.999998  th-err= 0.281860  test=      -nan  train= 0.0548001 
rnd  920: wh-err= 0.999998  th-err= 0.281859  test=      -nan  train= 0.0548001 
rnd  921: wh-err= 0.999998  th-err= 0.281859  test=      -nan  train= 0.0548001 
rnd  922: wh-err= 0.999998  th-err= 0.281858  test=      -nan  train= 0.0548001 
rnd  923: wh-err= 0.999998  th-err= 0.281858  test=      -nan  train= 0.0548001 
rnd  924: wh-err= 0.999998  th-err= 0.281857  test=      -nan  train= 0.0548001 
rnd  925: wh-err= 0.999998  th-err= 0.281857  test=      -nan  train= 0.0548001 
rnd  926: wh-err= 0.999998  th-err= 0.281857  test=      -nan  train= 0.0548001 
rnd  927: wh-err= 0.999998  th-err= 0.281856  test=      -nan  train= 0.0548001 
rnd  928: wh-err= 0.999998  th-err= 0.281856  test=      -nan  train= 0.0548001 
rnd  929: wh-err= 0.999998  th-err= 0.281855  test=      -nan  train= 0.0548001 
rnd  930: wh-err= 0.999998  th-err= 0.281855  test=      -nan  train= 0.0548001 
rnd  931: wh-err= 0.999998  th-err= 0.281854  test=      -nan  train= 0.0548001 
rnd  932: wh-err= 0.999998  th-err= 0.281854  test=      -nan  train= 0.0548001 
rnd  933: wh-err= 0.999985  th-err= 0.281850  test=      -nan  train= 0.0550721 
rnd  934: wh-err= 0.999999  th-err= 0.281849  test=      -nan  train= 0.0550721 
rnd  935: wh-err= 0.999999  th-err= 0.281849  test=      -nan  train= 0.0550721 
rnd  936: wh-err= 0.999999  th-err= 0.281848  test=      -nan  train= 0.0550721 
rnd  937: wh-err= 0.999999  th-err= 0.281848  test=      -nan  train= 0.0550721 
rnd  938: wh-err= 0.999985  th-err= 0.281844  test=      -nan  train= 0.0552081 
rnd  939: wh-err= 0.999999  th-err= 0.281843  test=      -nan  train= 0.0552081 
rnd  940: wh-err= 0.999999  th-err= 0.281843  test=      -nan  train= 0.0552081 
rnd  941: wh-err= 0.999999  th-err= 0.281843  test=      -nan  train= 0.0552081 
rnd  942: wh-err= 0.999999  th-err= 0.281842  test=      -nan  train= 0.0552081 
rnd  943: wh-err= 0.999999  th-err= 0.281842  test=      -nan  train= 0.0552081 
rnd  944: wh-err= 0.999999  th-err= 0.281841  test=      -nan  train= 0.0552081 
rnd  945: wh-err= 0.999999  th-err= 0.281841  test=      -nan  train= 0.0552081 
rnd  946: wh-err= 0.999999  th-err= 0.281841  test=      -nan  train= 0.0552081 
rnd  947: wh-err= 0.999999  th-err= 0.281840  test=      -nan  train= 0.0552081 
rnd  948: wh-err= 0.999999  th-err= 0.281840  test=      -nan  train= 0.0552081 
rnd  949: wh-err= 0.999999  th-err= 0.281839  test=      -nan  train= 0.0552081 
rnd  950: wh-err= 0.999999  th-err= 0.281839  test=      -nan  train= 0.0552081 
rnd  951: wh-err= 0.999999  th-err= 0.281839  test=      -nan  train= 0.0552081 
rnd  952: wh-err= 0.999999  th-err= 0.281838  test=      -nan  train= 0.0552081 
rnd  953: wh-err= 0.999985  th-err= 0.281834  test=      -nan  train= 0.0552081 
rnd  954: wh-err= 0.999999  th-err= 0.281834  test=      -nan  train= 0.0552081 
rnd  955: wh-err= 0.999999  th-err= 0.281833  test=      -nan  train= 0.0552081 
rnd  956: wh-err= 0.999999  th-err= 0.281833  test=      -nan  train= 0.0552081 
rnd  957: wh-err= 0.999999  th-err= 0.281833  test=      -nan  train= 0.0552081 
rnd  958: wh-err= 0.999999  th-err= 0.281832  test=      -nan  train= 0.0552081 
rnd  959: wh-err= 0.999999  th-err= 0.281832  test=      -nan  train= 0.0552081 
rnd  960: wh-err= 0.999999  th-err= 0.281832  test=      -nan  train= 0.0552081 
rnd  961: wh-err= 0.999999  th-err= 0.281831  test=      -nan  train= 0.0552081 
rnd  962: wh-err= 0.999999  th-err= 0.281831  test=      -nan  train= 0.0552081 
rnd  963: wh-err= 0.999986  th-err= 0.281827  test=      -nan  train= 0.0552081 
rnd  964: wh-err= 0.999983  th-err= 0.281822  test=      -nan  train= 0.0552081 
rnd  965: wh-err= 0.999984  th-err= 0.281818  test=      -nan  train= 0.0552081 
rnd  966: wh-err= 0.999985  th-err= 0.281813  test=      -nan  train= 0.0552081 
rnd  967: wh-err= 0.999999  th-err= 0.281813  test=      -nan  train= 0.0552081 
rnd  968: wh-err= 0.999999  th-err= 0.281813  test=      -nan  train= 0.0552081 
rnd  969: wh-err= 0.999999  th-err= 0.281812  test=      -nan  train= 0.0552081 
rnd  970: wh-err= 0.999999  th-err= 0.281812  test=      -nan  train= 0.0552081 
rnd  971: wh-err= 0.999999  th-err= 0.281811  test=      -nan  train= 0.0552081 
rnd  972: wh-err= 0.999999  th-err= 0.281811  test=      -nan  train= 0.0552081 
rnd  973: wh-err= 0.999986  th-err= 0.281807  test=      -nan  train= 0.0552081 
rnd  974: wh-err= 0.999999  th-err= 0.281807  test=      -nan  train= 0.0552081 
rnd  975: wh-err= 0.999999  th-err= 0.281806  test=      -nan  train= 0.0552081 
rnd  976: wh-err= 0.999999  th-err= 0.281806  test=      -nan  train= 0.0552081 
rnd  977: wh-err= 0.999999  th-err= 0.281806  test=      -nan  train= 0.0552081 
rnd  978: wh-err= 0.999986  th-err= 0.281802  test=      -nan  train= 0.0552081 
rnd  979: wh-err= 0.999982  th-err= 0.281797  test=      -nan  train= 0.0552081 
rnd  980: wh-err= 0.999986  th-err= 0.281793  test=      -nan  train= 0.0552081 
rnd  981: wh-err= 0.999985  th-err= 0.281789  test=      -nan  train= 0.0552081 
rnd  982: wh-err= 0.999986  th-err= 0.281785  test=      -nan  train= 0.0552081 
rnd  983: wh-err= 0.999999  th-err= 0.281784  test=      -nan  train= 0.0552081 
rnd  984: wh-err= 0.999999  th-err= 0.281784  test=      -nan  train= 0.0552081 
rnd  985: wh-err= 0.999999  th-err= 0.281783  test=      -nan  train= 0.0552081 
rnd  986: wh-err= 0.999999  th-err= 0.281783  test=      -nan  train= 0.0552081 
rnd  987: wh-err= 0.999999  th-err= 0.281783  test=      -nan  train= 0.0552081 
rnd  988: wh-err= 0.999999  th-err= 0.281782  test=      -nan  train= 0.0552081 
rnd  989: wh-err= 0.999999  th-err= 0.281782  test=      -nan  train= 0.0552081 
rnd  990: wh-err= 0.999999  th-err= 0.281782  test=      -nan  train= 0.0552081 
rnd  991: wh-err= 0.999999  th-err= 0.281781  test=      -nan  train= 0.0552081 
rnd  992: wh-err= 0.999999  th-err= 0.281781  test=      -nan  train= 0.0552081 
rnd  993: wh-err= 0.999986  th-err= 0.281777  test=      -nan  train= 0.0552081 
rnd  994: wh-err= 0.999986  th-err= 0.281773  test=      -nan  train= 0.0552081 
rnd  995: wh-err= 0.999986  th-err= 0.281769  test=      -nan  train= 0.0552081 
rnd  996: wh-err= 0.999978  th-err= 0.281763  test=      -nan  train= 0.0552081 
rnd  997: wh-err= 0.999985  th-err= 0.281759  test=      -nan  train= 0.0552081 
rnd  998: wh-err= 0.999999  th-err= 0.281758  test=      -nan  train= 0.0552081 
rnd  999: wh-err= 0.999999  th-err= 0.281758  test=      -nan  train= 0.0552081 
rnd 1000: wh-err= 0.999986  th-err= 0.281754  test=      -nan  train= 0.0552081 
=== END program1: ./run learn ../dataset2/train --- OK [28s]

===== MAIN: predict/evaluate on train data =====
=== START program3: ./run stripLabels ../dataset2/train ../program0/evalTrain.in
=== END program3: ./run stripLabels ../dataset2/train ../program0/evalTrain.in --- OK [1s]
=== START program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out
Copyright 2001 AT&T.  All rights reserved.



Test error = 7312.000000 / 7354 = 0.994289
=== END program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out --- OK [2s]
=== START program4: ./run evaluate ../dataset2/train ../program0/evalTrain.out
=== END program4: ./run evaluate ../dataset2/train ../program0/evalTrain.out --- OK [0s]

===== MAIN: predict/evaluate on test data =====
=== START program3: ./run stripLabels ../dataset2/test ../program0/evalTest.in
=== END program3: ./run stripLabels ../dataset2/test ../program0/evalTest.in --- OK [1s]
=== START program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out
Copyright 2001 AT&T.  All rights reserved.



Test error = 3130.000000 / 3152 = 0.993020
=== END program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out --- OK [1s]
=== START program4: ./run evaluate ../dataset2/test ../program0/evalTest.out
=== END program4: ./run evaluate ../dataset2/test ../program0/evalTest.out --- OK [0s]


real	0m33.528s
user	0m31.854s
sys	0m1.272s

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