 | Run 11411 |
| Creator | wmd1990 |
| Program | boostexter |
| Dataset | statlog-shuttle |
| Task type | MulticlassClassification |
| Created | 2y138d ago |
| Download | Login required! |
Done! 
| 12m29s | |
| 58M | |
| MulticlassClassification | |
| 0 | |
| 6.90e-05 | |
Log file
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0.000000 test= nan train= 0.0000000 rnd 904: wh-err= 0.964937 th-err= 0.000000 test= nan train= 0.0000000 rnd 905: wh-err= 0.961852 th-err= 0.000000 test= nan train= 0.0000000 rnd 906: wh-err= 0.962834 th-err= 0.000000 test= nan train= 0.0000000 rnd 907: wh-err= 0.933240 th-err= 0.000000 test= nan train= 0.0000000 rnd 908: wh-err= 0.951245 th-err= 0.000000 test= nan train= 0.0000000 rnd 909: wh-err= 0.934232 th-err= 0.000000 test= nan train= 0.0000000 rnd 910: wh-err= 0.963734 th-err= 0.000000 test= nan train= 0.0000000 rnd 911: wh-err= 0.913665 th-err= 0.000000 test= nan train= 0.0000000 rnd 912: wh-err= 0.891985 th-err= 0.000000 test= nan train= 0.0000000 rnd 913: wh-err= 0.936464 th-err= 0.000000 test= nan train= 0.0000000 rnd 914: wh-err= 0.929851 th-err= 0.000000 test= nan train= 0.0000000 rnd 915: wh-err= 0.961401 th-err= 0.000000 test= nan train= 0.0000000 rnd 916: wh-err= 0.964971 th-err= 0.000000 test= nan train= 0.0000000 rnd 917: wh-err= 0.956774 th-err= 0.000000 test= nan train= 0.0000000 rnd 918: wh-err= 0.967587 th-err= 0.000000 test= nan train= 0.0000000 rnd 919: wh-err= 0.954586 th-err= 0.000000 test= nan train= 0.0000000 rnd 920: wh-err= 0.962133 th-err= 0.000000 test= nan train= 0.0000000 rnd 921: wh-err= 0.954244 th-err= 0.000000 test= nan train= 0.0000000 rnd 922: wh-err= 0.959266 th-err= 0.000000 test= nan train= 0.0000000 rnd 923: wh-err= 0.967542 th-err= 0.000000 test= nan train= 0.0000000 rnd 924: wh-err= 0.973286 th-err= 0.000000 test= nan train= 0.0000000 rnd 925: wh-err= 0.948389 th-err= 0.000000 test= nan train= 0.0000000 rnd 926: wh-err= 0.959513 th-err= 0.000000 test= nan train= 0.0000000 rnd 927: wh-err= 0.964937 th-err= 0.000000 test= nan train= 0.0000000 rnd 928: wh-err= 0.950191 th-err= 0.000000 test= nan train= 0.0000000 rnd 929: wh-err= 0.949624 th-err= 0.000000 test= nan train= 0.0000000 rnd 930: wh-err= 0.961934 th-err= 0.000000 test= nan train= 0.0000000 rnd 931: wh-err= 0.971979 th-err= 0.000000 test= nan train= 0.0000000 rnd 932: wh-err= 0.966559 th-err= 0.000000 test= nan train= 0.0000000 rnd 933: wh-err= 0.938283 th-err= 0.000000 test= nan train= 0.0000000 rnd 934: wh-err= 0.920240 th-err= 0.000000 test= nan train= 0.0000000 rnd 935: wh-err= 0.904188 th-err= 0.000000 test= nan train= 0.0000000 rnd 936: wh-err= 0.895989 th-err= 0.000000 test= nan train= 0.0000000 rnd 937: wh-err= 0.956153 th-err= 0.000000 test= nan train= 0.0000000 rnd 938: wh-err= 0.927784 th-err= 0.000000 test= nan train= 0.0000000 rnd 939: wh-err= 0.942318 th-err= 0.000000 test= nan train= 0.0000000 rnd 940: wh-err= 0.954475 th-err= 0.000000 test= nan train= 0.0000000 rnd 941: wh-err= 0.957240 th-err= 0.000000 test= nan train= 0.0000000 rnd 942: wh-err= 0.960351 th-err= 0.000000 test= nan train= 0.0000000 rnd 943: wh-err= 0.962391 th-err= 0.000000 test= nan train= 0.0000000 rnd 944: wh-err= 0.969533 th-err= 0.000000 test= nan train= 0.0000000 rnd 945: wh-err= 0.966740 th-err= 0.000000 test= nan train= 0.0000000 rnd 946: wh-err= 0.962890 th-err= 0.000000 test= nan train= 0.0000000 rnd 947: wh-err= 0.967582 th-err= 0.000000 test= nan train= 0.0000000 rnd 948: wh-err= 0.967071 th-err= 0.000000 test= nan train= 0.0000000 rnd 949: wh-err= 0.962492 th-err= 0.000000 test= nan train= 0.0000000 rnd 950: wh-err= 0.965603 th-err= 0.000000 test= nan train= 0.0000000 rnd 951: wh-err= 0.971177 th-err= 0.000000 test= nan train= 0.0000000 rnd 952: wh-err= 0.939049 th-err= 0.000000 test= nan train= 0.0000000 rnd 953: wh-err= 0.916250 th-err= 0.000000 test= nan train= 0.0000000 rnd 954: wh-err= 0.939116 th-err= 0.000000 test= nan train= 0.0000000 rnd 955: wh-err= 0.960402 th-err= 0.000000 test= nan train= 0.0000000 rnd 956: wh-err= 0.962969 th-err= 0.000000 test= nan train= 0.0000000 rnd 957: wh-err= 0.969642 th-err= 0.000000 test= nan train= 0.0000000 rnd 958: wh-err= 0.964965 th-err= 0.000000 test= nan train= 0.0000000 rnd 959: wh-err= 0.953627 th-err= 0.000000 test= nan train= 0.0000000 rnd 960: wh-err= 0.953864 th-err= 0.000000 test= nan train= 0.0000000 rnd 961: wh-err= 0.965375 th-err= 0.000000 test= nan train= 0.0000000 rnd 962: wh-err= 0.963200 th-err= 0.000000 test= nan train= 0.0000000 rnd 963: wh-err= 0.978223 th-err= 0.000000 test= nan train= 0.0000000 rnd 964: wh-err= 0.977291 th-err= 0.000000 test= nan train= 0.0000000 rnd 965: wh-err= 0.944041 th-err= 0.000000 test= nan train= 0.0000000 rnd 966: wh-err= 0.914741 th-err= 0.000000 test= nan train= 0.0000000 rnd 967: wh-err= 0.887304 th-err= 0.000000 test= nan train= 0.0000000 rnd 968: wh-err= 0.915124 th-err= 0.000000 test= nan train= 0.0000000 rnd 969: wh-err= 0.939795 th-err= 0.000000 test= nan train= 0.0000000 rnd 970: wh-err= 0.927907 th-err= 0.000000 test= nan train= 0.0000000 rnd 971: wh-err= 0.969364 th-err= 0.000000 test= nan train= 0.0000000 rnd 972: wh-err= 0.961791 th-err= 0.000000 test= nan train= 0.0000000 rnd 973: wh-err= 0.964499 th-err= 0.000000 test= nan train= 0.0000000 rnd 974: wh-err= 0.963086 th-err= 0.000000 test= nan train= 0.0000000 rnd 975: wh-err= 0.936901 th-err= 0.000000 test= nan train= 0.0000000 rnd 976: wh-err= 0.969088 th-err= 0.000000 test= nan train= 0.0000000 rnd 977: wh-err= 0.954369 th-err= 0.000000 test= nan train= 0.0000000 rnd 978: wh-err= 0.958933 th-err= 0.000000 test= nan train= 0.0000000 rnd 979: wh-err= 0.948677 th-err= 0.000000 test= nan train= 0.0000000 rnd 980: wh-err= 0.950059 th-err= 0.000000 test= nan train= 0.0000000 rnd 981: wh-err= 0.966713 th-err= 0.000000 test= nan train= 0.0000000 rnd 982: wh-err= 0.974636 th-err= 0.000000 test= nan train= 0.0000000 rnd 983: wh-err= 0.960385 th-err= 0.000000 test= nan train= 0.0000000 rnd 984: wh-err= 0.976938 th-err= 0.000000 test= nan train= 0.0000000 rnd 985: wh-err= 0.972808 th-err= 0.000000 test= nan train= 0.0000000 rnd 986: wh-err= 0.941343 th-err= 0.000000 test= nan train= 0.0000000 rnd 987: wh-err= 0.964327 th-err= 0.000000 test= nan train= 0.0000000 rnd 988: wh-err= 0.936768 th-err= 0.000000 test= nan train= 0.0000000 rnd 989: wh-err= 0.955732 th-err= 0.000000 test= nan train= 0.0000000 rnd 990: wh-err= 0.902291 th-err= 0.000000 test= nan train= 0.0000000 rnd 991: wh-err= 0.919062 th-err= 0.000000 test= nan train= 0.0000000 rnd 992: wh-err= 0.909089 th-err= 0.000000 test= nan train= 0.0000000 rnd 993: wh-err= 0.914684 th-err= 0.000000 test= nan train= 0.0000000 rnd 994: wh-err= 0.962392 th-err= 0.000000 test= nan train= 0.0000000 rnd 995: wh-err= 0.956374 th-err= 0.000000 test= nan train= 0.0000000 rnd 996: wh-err= 0.962225 th-err= 0.000000 test= nan train= 0.0000000 rnd 997: wh-err= 0.966463 th-err= 0.000000 test= nan train= 0.0000000 rnd 998: wh-err= 0.969330 th-err= 0.000000 test= nan train= 0.0000000 rnd 999: wh-err= 0.962575 th-err= 0.000000 test= nan train= 0.0000000 rnd 1000: wh-err= 0.962655 th-err= 0.000000 test= nan train= 0.0000000 === END program1: ./run learn ../dataset2/train --- OK [728s] ===== 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 [2s] === START program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out Copyright 2001 AT&T. All rights reserved. Test error = 43500.000000 / 43500 = 1.000000 === END program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out --- OK [10s] === START program4: ./run evaluate ../dataset2/train ../program0/evalTrain.out === END program4: ./run evaluate ../dataset2/train ../program0/evalTrain.out --- OK [4s] ===== 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 = 14500.000000 / 14500 = 1.000000 === END program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out --- OK [3s] === START program4: ./run evaluate ../dataset2/test ../program0/evalTest.out === END program4: ./run evaluate ../dataset2/test ../program0/evalTest.out --- OK [2s] real 12m28.853s user 5m20.712s sys 0m0.700s
Run specification 
Results
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