ServerRun 7977
Creatorinternal
Programboostexter
Datasetrandom
Task typeMulticlassClassification
Created1y121d ago
Done! Flag_green
19s
33M
MulticlassClassification
0
0.875

Log file

... (lines omitted) ...
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rnd  863: wh-err= 0.857878  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  864: wh-err= 0.735345  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  865: wh-err= 0.880422  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  866: wh-err= 0.916834  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  867: wh-err= 0.883504  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  868: wh-err= 0.878621  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  869: wh-err= 0.837234  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  870: wh-err= 0.765736  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  871: wh-err= 0.853109  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  872: wh-err= 0.899387  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  873: wh-err= 0.929059  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  874: wh-err= 0.943473  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  875: wh-err= 0.894490  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  876: wh-err= 0.862220  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  877: wh-err= 0.936036  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  878: wh-err= 0.858670  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  879: wh-err= 0.767414  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  880: wh-err= 0.907830  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  881: wh-err= 0.889847  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  882: wh-err= 0.916736  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  883: wh-err= 0.873229  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  884: wh-err= 0.899812  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  885: wh-err= 0.798503  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  886: wh-err= 0.779397  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  887: wh-err= 0.850071  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  888: wh-err= 0.906405  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  889: wh-err= 0.932387  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  890: wh-err= 0.929483  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  891: wh-err= 0.897290  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  892: wh-err= 0.858403  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  893: wh-err= 0.885091  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  894: wh-err= 0.924800  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  895: wh-err= 0.857982  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  896: wh-err= 0.764344  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  897: wh-err= 0.858271  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  898: wh-err= 0.885112  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  899: wh-err= 0.886685  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  900: wh-err= 0.910926  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  901: wh-err= 0.818144  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  902: wh-err= 0.751815  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  903: wh-err= 0.842944  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  904: wh-err= 0.894393  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  905: wh-err= 0.916695  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  906: wh-err= 0.916587  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  907: wh-err= 0.840158  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  908: wh-err= 0.877063  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  909: wh-err= 0.898968  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  910: wh-err= 0.817699  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  911: wh-err= 0.907521  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  912: wh-err= 0.877276  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  913: wh-err= 0.873216  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  914: wh-err= 0.947244  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  915: wh-err= 0.915199  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  916: wh-err= 0.795539  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  917: wh-err= 0.747067  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  918: wh-err= 0.873187  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  919: wh-err= 0.920692  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  920: wh-err= 0.935298  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  921: wh-err= 0.941471  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  922: wh-err= 0.926720  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  923: wh-err= 0.903457  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  924: wh-err= 0.893838  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  925: wh-err= 0.793505  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  926: wh-err= 0.821577  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  927: wh-err= 0.870534  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  928: wh-err= 0.878603  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  929: wh-err= 0.922505  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  930: wh-err= 0.921746  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  931: wh-err= 0.842060  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  932: wh-err= 0.771492  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  933: wh-err= 0.849237  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  934: wh-err= 0.893523  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  935: wh-err= 0.922942  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  936: wh-err= 0.919944  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  937: wh-err= 0.883764  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  938: wh-err= 0.880865  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  939: wh-err= 0.837589  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  940: wh-err= 0.846303  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  941: wh-err= 0.865964  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  942: wh-err= 0.914311  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  943: wh-err= 0.936943  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  944: wh-err= 0.913930  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  945: wh-err= 0.873517  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  946: wh-err= 0.834172  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  947: wh-err= 0.818404  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  948: wh-err= 0.875904  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  949: wh-err= 0.872123  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  950: wh-err= 0.860286  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  951: wh-err= 0.908536  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  952: wh-err= 0.936936  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  953: wh-err= 0.921192  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  954: wh-err= 0.861255  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  955: wh-err= 0.747460  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  956: wh-err= 0.887015  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  957: wh-err= 0.849409  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  958: wh-err= 0.900293  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  959: wh-err= 0.932102  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  960: wh-err= 0.899616  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  961: wh-err= 0.833886  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  962: wh-err= 0.877228  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  963: wh-err= 0.877022  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  964: wh-err= 0.918120  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  965: wh-err= 0.835600  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  966: wh-err= 0.925390  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  967: wh-err= 0.917915  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  968: wh-err= 0.900591  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  969: wh-err= 0.907716  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  970: wh-err= 0.899243  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  971: wh-err= 0.886237  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  972: wh-err= 0.876098  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  973: wh-err= 0.831702  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  974: wh-err= 0.870600  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  975: wh-err= 0.873311  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  976: wh-err= 0.745613  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  977: wh-err= 0.843725  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  978: wh-err= 0.836173  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  979: wh-err= 0.899841  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  980: wh-err= 0.943552  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  981: wh-err= 0.932364  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  982: wh-err= 0.891213  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  983: wh-err= 0.909005  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  984: wh-err= 0.924806  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  985: wh-err= 0.937807  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  986: wh-err= 0.865940  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  987: wh-err= 0.854189  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  988: wh-err= 0.896473  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  989: wh-err= 0.910249  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  990: wh-err= 0.903119  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  991: wh-err= 0.932901  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  992: wh-err= 0.883847  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  993: wh-err= 0.877193  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  994: wh-err= 0.917623  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  995: wh-err= 0.835106  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  996: wh-err= 0.774217  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  997: wh-err= 0.852261  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  998: wh-err= 0.899511  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd  999: wh-err= 0.924491  th-err= 0.000000  test=       nan  train= 0.0000000 
rnd 1000: wh-err= 0.882350  th-err= 0.000000  test=       nan  train= 0.0000000 
=== END program1: ./run learn ../dataset2/train --- OK [22s]

===== 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 [0s]
=== START program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out
Copyright 2001 AT&T.  All rights reserved.



Test error = 1791.000000 / 1791 = 1.000000
=== END program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out --- OK [1s]
=== 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 [0s]
=== START program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out
Copyright 2001 AT&T.  All rights reserved.



Test error = 8.000000 / 8 = 1.000000
=== END program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out --- OK [0s]
=== START program4: ./run evaluate ../dataset2/test ../program0/evalTest.out
=== END program4: ./run evaluate ../dataset2/test ../program0/evalTest.out --- OK [0s]


real	0m23.365s
user	0m9.825s
sys	0m0.144s

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