ServerRun 7953
Creatorinternal
Programboostexter
Datasetstatlog-heart
Task typeMulticlassClassification
Created1y122d ago
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Done! Flag_green
1s
31M
MulticlassClassification
0
0.235

Log file

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rnd  856: wh-err= 0.996646  th-err= 0.000210  test=       nan  train= 0.0000000 
rnd  857: wh-err= 0.993440  th-err= 0.000209  test=       nan  train= 0.0000000 
rnd  858: wh-err= 0.989966  th-err= 0.000207  test=       nan  train= 0.0000000 
rnd  859: wh-err= 0.991263  th-err= 0.000205  test=       nan  train= 0.0000000 
rnd  860: wh-err= 0.991791  th-err= 0.000203  test=       nan  train= 0.0000000 
rnd  861: wh-err= 0.989565  th-err= 0.000201  test=       nan  train= 0.0000000 
rnd  862: wh-err= 0.996420  th-err= 0.000201  test=       nan  train= 0.0000000 
rnd  863: wh-err= 0.993071  th-err= 0.000199  test=       nan  train= 0.0000000 
rnd  864: wh-err= 0.993040  th-err= 0.000198  test=       nan  train= 0.0000000 
rnd  865: wh-err= 0.992516  th-err= 0.000196  test=       nan  train= 0.0000000 
rnd  866: wh-err= 0.985897  th-err= 0.000194  test=       nan  train= 0.0000000 
rnd  867: wh-err= 0.992921  th-err= 0.000192  test=       nan  train= 0.0000000 
rnd  868: wh-err= 0.992077  th-err= 0.000191  test=       nan  train= 0.0000000 
rnd  869: wh-err= 0.990345  th-err= 0.000189  test=       nan  train= 0.0000000 
rnd  870: wh-err= 0.996280  th-err= 0.000188  test=       nan  train= 0.0000000 
rnd  871: wh-err= 0.993691  th-err= 0.000187  test=       nan  train= 0.0000000 
rnd  872: wh-err= 0.991060  th-err= 0.000185  test=       nan  train= 0.0000000 
rnd  873: wh-err= 0.992175  th-err= 0.000184  test=       nan  train= 0.0000000 
rnd  874: wh-err= 0.991588  th-err= 0.000182  test=       nan  train= 0.0000000 
rnd  875: wh-err= 0.991425  th-err= 0.000181  test=       nan  train= 0.0000000 
rnd  876: wh-err= 0.991162  th-err= 0.000179  test=       nan  train= 0.0000000 
rnd  877: wh-err= 0.988607  th-err= 0.000177  test=       nan  train= 0.0000000 
rnd  878: wh-err= 0.989585  th-err= 0.000175  test=       nan  train= 0.0000000 
rnd  879: wh-err= 0.990355  th-err= 0.000174  test=       nan  train= 0.0000000 
rnd  880: wh-err= 0.989717  th-err= 0.000172  test=       nan  train= 0.0000000 
rnd  881: wh-err= 0.992230  th-err= 0.000170  test=       nan  train= 0.0000000 
rnd  882: wh-err= 0.991627  th-err= 0.000169  test=       nan  train= 0.0000000 
rnd  883: wh-err= 0.991369  th-err= 0.000168  test=       nan  train= 0.0000000 
rnd  884: wh-err= 0.993596  th-err= 0.000166  test=       nan  train= 0.0000000 
rnd  885: wh-err= 0.990547  th-err= 0.000165  test=       nan  train= 0.0000000 
rnd  886: wh-err= 0.991701  th-err= 0.000164  test=       nan  train= 0.0000000 
rnd  887: wh-err= 0.992829  th-err= 0.000162  test=       nan  train= 0.0000000 
rnd  888: wh-err= 0.992665  th-err= 0.000161  test=       nan  train= 0.0000000 
rnd  889: wh-err= 0.991982  th-err= 0.000160  test=       nan  train= 0.0000000 
rnd  890: wh-err= 0.992234  th-err= 0.000159  test=       nan  train= 0.0000000 
rnd  891: wh-err= 0.992936  th-err= 0.000158  test=       nan  train= 0.0000000 
rnd  892: wh-err= 0.996485  th-err= 0.000157  test=       nan  train= 0.0000000 
rnd  893: wh-err= 0.996997  th-err= 0.000157  test=       nan  train= 0.0000000 
rnd  894: wh-err= 0.993774  th-err= 0.000156  test=       nan  train= 0.0000000 
rnd  895: wh-err= 0.992246  th-err= 0.000154  test=       nan  train= 0.0000000 
rnd  896: wh-err= 0.990637  th-err= 0.000153  test=       nan  train= 0.0000000 
rnd  897: wh-err= 0.989832  th-err= 0.000151  test=       nan  train= 0.0000000 
rnd  898: wh-err= 0.988354  th-err= 0.000150  test=       nan  train= 0.0000000 
rnd  899: wh-err= 0.990717  th-err= 0.000148  test=       nan  train= 0.0000000 
rnd  900: wh-err= 0.991758  th-err= 0.000147  test=       nan  train= 0.0000000 
rnd  901: wh-err= 0.991999  th-err= 0.000146  test=       nan  train= 0.0000000 
rnd  902: wh-err= 0.990941  th-err= 0.000144  test=       nan  train= 0.0000000 
rnd  903: wh-err= 0.988788  th-err= 0.000143  test=       nan  train= 0.0000000 
rnd  904: wh-err= 0.993296  th-err= 0.000142  test=       nan  train= 0.0000000 
rnd  905: wh-err= 0.989810  th-err= 0.000140  test=       nan  train= 0.0000000 
rnd  906: wh-err= 0.992265  th-err= 0.000139  test=       nan  train= 0.0000000 
rnd  907: wh-err= 0.990453  th-err= 0.000138  test=       nan  train= 0.0000000 
rnd  908: wh-err= 0.989201  th-err= 0.000137  test=       nan  train= 0.0000000 
rnd  909: wh-err= 0.992326  th-err= 0.000135  test=       nan  train= 0.0000000 
rnd  910: wh-err= 0.990130  th-err= 0.000134  test=       nan  train= 0.0000000 
rnd  911: wh-err= 0.995455  th-err= 0.000134  test=       nan  train= 0.0000000 
rnd  912: wh-err= 0.991118  th-err= 0.000132  test=       nan  train= 0.0000000 
rnd  913: wh-err= 0.989610  th-err= 0.000131  test=       nan  train= 0.0000000 
rnd  914: wh-err= 0.989443  th-err= 0.000130  test=       nan  train= 0.0000000 
rnd  915: wh-err= 0.988219  th-err= 0.000128  test=       nan  train= 0.0000000 
rnd  916: wh-err= 0.990896  th-err= 0.000127  test=       nan  train= 0.0000000 
rnd  917: wh-err= 0.985858  th-err= 0.000125  test=       nan  train= 0.0000000 
rnd  918: wh-err= 0.987908  th-err= 0.000124  test=       nan  train= 0.0000000 
rnd  919: wh-err= 0.989040  th-err= 0.000122  test=       nan  train= 0.0000000 
rnd  920: wh-err= 0.991720  th-err= 0.000121  test=       nan  train= 0.0000000 
rnd  921: wh-err= 0.991953  th-err= 0.000120  test=       nan  train= 0.0000000 
rnd  922: wh-err= 0.995915  th-err= 0.000120  test=       nan  train= 0.0000000 
rnd  923: wh-err= 0.996207  th-err= 0.000119  test=       nan  train= 0.0000000 
rnd  924: wh-err= 0.992920  th-err= 0.000118  test=       nan  train= 0.0000000 
rnd  925: wh-err= 0.996468  th-err= 0.000118  test=       nan  train= 0.0000000 
rnd  926: wh-err= 0.992719  th-err= 0.000117  test=       nan  train= 0.0000000 
rnd  927: wh-err= 0.996022  th-err= 0.000117  test=       nan  train= 0.0000000 
rnd  928: wh-err= 0.992910  th-err= 0.000116  test=       nan  train= 0.0000000 
rnd  929: wh-err= 0.989459  th-err= 0.000115  test=       nan  train= 0.0000000 
rnd  930: wh-err= 0.993354  th-err= 0.000114  test=       nan  train= 0.0000000 
rnd  931: wh-err= 0.991402  th-err= 0.000113  test=       nan  train= 0.0000000 
rnd  932: wh-err= 0.989520  th-err= 0.000112  test=       nan  train= 0.0000000 
rnd  933: wh-err= 0.991940  th-err= 0.000111  test=       nan  train= 0.0000000 
rnd  934: wh-err= 0.992167  th-err= 0.000110  test=       nan  train= 0.0000000 
rnd  935: wh-err= 0.993031  th-err= 0.000109  test=       nan  train= 0.0000000 
rnd  936: wh-err= 0.988722  th-err= 0.000108  test=       nan  train= 0.0000000 
rnd  937: wh-err= 0.992203  th-err= 0.000107  test=       nan  train= 0.0000000 
rnd  938: wh-err= 0.993078  th-err= 0.000106  test=       nan  train= 0.0000000 
rnd  939: wh-err= 0.993604  th-err= 0.000106  test=       nan  train= 0.0000000 
rnd  940: wh-err= 0.996218  th-err= 0.000105  test=       nan  train= 0.0000000 
rnd  941: wh-err= 0.997065  th-err= 0.000105  test=       nan  train= 0.0000000 
rnd  942: wh-err= 0.993014  th-err= 0.000104  test=       nan  train= 0.0000000 
rnd  943: wh-err= 0.991622  th-err= 0.000103  test=       nan  train= 0.0000000 
rnd  944: wh-err= 0.990702  th-err= 0.000102  test=       nan  train= 0.0000000 
rnd  945: wh-err= 0.988304  th-err= 0.000101  test=       nan  train= 0.0000000 
rnd  946: wh-err= 0.992449  th-err= 0.000100  test=       nan  train= 0.0000000 
rnd  947: wh-err= 0.991053  th-err= 0.000100  test=       nan  train= 0.0000000 
rnd  948: wh-err= 0.989253  th-err= 0.000099  test=       nan  train= 0.0000000 
rnd  949: wh-err= 0.990828  th-err= 0.000098  test=       nan  train= 0.0000000 
rnd  950: wh-err= 0.990023  th-err= 0.000097  test=       nan  train= 0.0000000 
rnd  951: wh-err= 0.993174  th-err= 0.000096  test=       nan  train= 0.0000000 
rnd  952: wh-err= 0.990404  th-err= 0.000095  test=       nan  train= 0.0000000 
rnd  953: wh-err= 0.990574  th-err= 0.000094  test=       nan  train= 0.0000000 
rnd  954: wh-err= 0.991023  th-err= 0.000093  test=       nan  train= 0.0000000 
rnd  955: wh-err= 0.994876  th-err= 0.000093  test=       nan  train= 0.0000000 
rnd  956: wh-err= 0.991119  th-err= 0.000092  test=       nan  train= 0.0000000 
rnd  957: wh-err= 0.995721  th-err= 0.000092  test=       nan  train= 0.0000000 
rnd  958: wh-err= 0.992485  th-err= 0.000091  test=       nan  train= 0.0000000 
rnd  959: wh-err= 0.992219  th-err= 0.000090  test=       nan  train= 0.0000000 
rnd  960: wh-err= 0.988638  th-err= 0.000089  test=       nan  train= 0.0000000 
rnd  961: wh-err= 0.992866  th-err= 0.000089  test=       nan  train= 0.0000000 
rnd  962: wh-err= 0.992107  th-err= 0.000088  test=       nan  train= 0.0000000 
rnd  963: wh-err= 0.996540  th-err= 0.000088  test=       nan  train= 0.0000000 
rnd  964: wh-err= 0.996596  th-err= 0.000087  test=       nan  train= 0.0000000 
rnd  965: wh-err= 0.993612  th-err= 0.000087  test=       nan  train= 0.0000000 
rnd  966: wh-err= 0.995320  th-err= 0.000086  test=       nan  train= 0.0000000 
rnd  967: wh-err= 0.991717  th-err= 0.000086  test=       nan  train= 0.0000000 
rnd  968: wh-err= 0.991505  th-err= 0.000085  test=       nan  train= 0.0000000 
rnd  969: wh-err= 0.991982  th-err= 0.000084  test=       nan  train= 0.0000000 
rnd  970: wh-err= 0.994015  th-err= 0.000084  test=       nan  train= 0.0000000 
rnd  971: wh-err= 0.992943  th-err= 0.000083  test=       nan  train= 0.0000000 
rnd  972: wh-err= 0.990331  th-err= 0.000082  test=       nan  train= 0.0000000 
rnd  973: wh-err= 0.993217  th-err= 0.000082  test=       nan  train= 0.0000000 
rnd  974: wh-err= 0.991807  th-err= 0.000081  test=       nan  train= 0.0000000 
rnd  975: wh-err= 0.990882  th-err= 0.000080  test=       nan  train= 0.0000000 
rnd  976: wh-err= 0.992118  th-err= 0.000080  test=       nan  train= 0.0000000 
rnd  977: wh-err= 0.993238  th-err= 0.000079  test=       nan  train= 0.0000000 
rnd  978: wh-err= 0.993928  th-err= 0.000079  test=       nan  train= 0.0000000 
rnd  979: wh-err= 0.991718  th-err= 0.000078  test=       nan  train= 0.0000000 
rnd  980: wh-err= 0.992608  th-err= 0.000077  test=       nan  train= 0.0000000 
rnd  981: wh-err= 0.996339  th-err= 0.000077  test=       nan  train= 0.0000000 
rnd  982: wh-err= 0.993665  th-err= 0.000077  test=       nan  train= 0.0000000 
rnd  983: wh-err= 0.996457  th-err= 0.000076  test=       nan  train= 0.0000000 
rnd  984: wh-err= 0.993653  th-err= 0.000076  test=       nan  train= 0.0000000 
rnd  985: wh-err= 0.993656  th-err= 0.000075  test=       nan  train= 0.0000000 
rnd  986: wh-err= 0.990588  th-err= 0.000075  test=       nan  train= 0.0000000 
rnd  987: wh-err= 0.991792  th-err= 0.000074  test=       nan  train= 0.0000000 
rnd  988: wh-err= 0.991249  th-err= 0.000073  test=       nan  train= 0.0000000 
rnd  989: wh-err= 0.992409  th-err= 0.000073  test=       nan  train= 0.0000000 
rnd  990: wh-err= 0.991699  th-err= 0.000072  test=       nan  train= 0.0000000 
rnd  991: wh-err= 0.989666  th-err= 0.000072  test=       nan  train= 0.0000000 
rnd  992: wh-err= 0.990368  th-err= 0.000071  test=       nan  train= 0.0000000 
rnd  993: wh-err= 0.994113  th-err= 0.000070  test=       nan  train= 0.0000000 
rnd  994: wh-err= 0.991222  th-err= 0.000070  test=       nan  train= 0.0000000 
rnd  995: wh-err= 0.988598  th-err= 0.000069  test=       nan  train= 0.0000000 
rnd  996: wh-err= 0.991216  th-err= 0.000068  test=       nan  train= 0.0000000 
rnd  997: wh-err= 0.992493  th-err= 0.000068  test=       nan  train= 0.0000000 
rnd  998: wh-err= 0.990517  th-err= 0.000067  test=       nan  train= 0.0000000 
rnd  999: wh-err= 0.995246  th-err= 0.000067  test=       nan  train= 0.0000000 
rnd 1000: wh-err= 0.991512  th-err= 0.000066  test=       nan  train= 0.0000000 
=== END program1: ./run learn ../dataset2/train --- OK [1s]

===== 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 = 189.000000 / 189 = 1.000000
=== END program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out --- OK [0s]
=== 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 = 81.000000 / 81 = 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 [1s]


real	0m1.536s
user	0m0.552s
sys	0m0.104s

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