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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
Run specification
supervised-learning: Main entry for supervised learning for training and testing a program on a dataset.
(learner:Program) boostexter: Adaboost on single level decision trees. AT&T's closed-source implementation. See http://www.cs.princeton.edu/~schapire/boostexter.html.
When you generate a run, you can set a time limit for the run (no more than 24 hours). After that point, we will terminate the program.
Your program can use 1.5GB of memory. More information here.
Go to the page for the run and look at the log file for signs of the responsible error.
You can also download the run and run it locally on your machine (a README file should
be included in the download which provides more information).
We said that a run was simply a program/dataset pair, but that's not the full story.
A run actually includes other helper programs such as the evaluation program and
various programs for reductions (e.g., one-versus-all, hyperparameter tuning).
More formally, a run is a given by a run specification,
which can be found on the page for any run.
A run specification is a tree where each internal node represents a program
and its children represents the arguments to be passed into its constructor.
For example, the one-versus-all program takes your binary classification program
as a constructor argument and behaves like a multiclass classification program.
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