ServerRun 7786
Creatorinternal
Programsvmlight-rbf
DatasetGolf
Task typeBinaryClassification
Created6y349d ago
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Done! Flag_green
1s
0B
BinaryClassification
0.250
0.500

Log file

===== MAIN: learn based on training data =====
=== START program1: ./run learn ../dataset2/train
Scanning examples...done
Reading examples into memory...OK. (4 examples read)
Setting default regularization parameter C=0.5000
Optimizing.done. (2 iterations)
Optimization finished (1 misclassified, maxdiff=0.00000).
Runtime in cpu-seconds: 0.00
Number of SV: 4 (including 1 at upper bound)
L1 loss: loss=1.33333
Norm of weight vector: |w|=0.57735
Norm of longest example vector: |x|=1.00000
Estimated VCdim of classifier: VCdim<=1.66667
Computing XiAlpha-estimates...done
Runtime for XiAlpha-estimates in cpu-seconds: 0.00
XiAlpha-estimate of the error: error<=25.00% (rho=1.00,depth=0)
XiAlpha-estimate of the recall: recall=>100.00% (rho=1.00,depth=0)
XiAlpha-estimate of the precision: precision=>75.00% (rho=1.00,depth=0)
Number of kernel evaluations: 72
Writing model file...done
=== 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
Reading model...OK. (4 support vectors read)
Classifying test examples..done
Runtime (without IO) in cpu-seconds: 0.00
=== 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
Reading model...OK. (4 support vectors read)
Classifying test examples..done
Runtime (without IO) in cpu-seconds: 0.00
=== 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	0m0.578s
user	0m0.176s
sys	0m0.036s

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