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rnd 898: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
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rnd 900: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
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rnd 903: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 904: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 905: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 906: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 907: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 908: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 909: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 910: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 911: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 912: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 913: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 914: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 915: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 916: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 917: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 918: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 919: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 920: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 921: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 922: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 923: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 924: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 925: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 926: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 927: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 928: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 929: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 930: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 931: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 932: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 933: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 934: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 935: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 936: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 937: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 938: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 939: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 940: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 941: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 942: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 943: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 944: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 945: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 946: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 947: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 948: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 949: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 950: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 951: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 952: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 953: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 954: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 955: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 956: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 957: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 958: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 959: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 960: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 961: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 962: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 963: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 964: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 965: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 966: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 967: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 968: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 969: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 970: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 971: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 972: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 973: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 974: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 975: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 976: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 977: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 978: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 979: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 980: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 981: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 982: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 983: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 984: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 985: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 986: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 987: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 988: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 989: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 990: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 991: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 992: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 993: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 994: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 995: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 996: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 997: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 998: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 999: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
rnd 1000: wh-err= 0.447214 th-err= 0.000000 test= nan train= 0.0000000
=== END program1: ./run learn ../dataset2/train --- OK [0s]
===== 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 = 4.000000 / 4 = 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 = 2.000000 / 2 = 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 0m0.680s
user 0m0.168s
sys 0m0.092s
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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