ServerRun 36641
Creatortycho01
Programsvmlight-linear
Datasetasthma_breath_spectra_binneg
Task typeBinaryClassification
Created2y343d ago
Done! Flag_green
2m37s
30M
BinaryClassification
1m4s
0.671
1m4s
0.583
27s

Log file

===== MAIN: learn based on training data =====
=== START program1: ./run learn ../dataset2/train
Scanning examples...done
Reading examples into memory...OK. (85 examples read)
Setting default regularization parameter C=0.0000
Optimizing.done. (2 iterations)
Optimization finished (85 misclassified, maxdiff=0.00000).
Runtime in cpu-seconds: 0.01
Number of SV: 0 (including 0 at upper bound)
L1 loss: loss=85.00000
Norm of weight vector: |w|=0.00000
Norm of longest example vector: |x|=43241055453184.00000
Estimated VCdim of classifier: VCdim<=1.00000
Computing XiAlpha-estimates...done
Runtime for XiAlpha-estimates in cpu-seconds: 0.00
XiAlpha-estimate of the error: error<=100.00% (rho=1.00,depth=0)
XiAlpha-estimate of the recall: recall=>0.00% (rho=1.00,depth=0)
XiAlpha-estimate of the precision: precision=>0.00% (rho=1.00,depth=0)
Number of kernel evaluations: 850
Writing model file...done
=== END program1: ./run learn ../dataset2/train --- OK [64s]

===== 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. (0 support vectors read)
Classifying test examples..done
Runtime (without IO) in cpu-seconds: 0.00
Accuracy on test set: 0.00% (0 correct, 85 incorrect, 85 total)
Precision/recall on test set: -nan%/0.00%
=== END program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out --- OK [64s]
=== START program4: ./run evaluate ../dataset2/train ../program0/evalTrain.out
=== END program4: ./run evaluate ../dataset2/train ../program0/evalTrain.out --- OK [2s]

===== 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. (0 support vectors read)
Classifying test examples..done
Runtime (without IO) in cpu-seconds: 0.00
Accuracy on test set: 0.00% (0 correct, 36 incorrect, 36 total)
Precision/recall on test set: -nan%/0.00%
=== END program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out --- OK [27s]
=== START program4: ./run evaluate ../dataset2/test ../program0/evalTest.out
=== END program4: ./run evaluate ../dataset2/test ../program0/evalTest.out --- OK [1s]


real	2m38.132s
user	2m34.882s
sys	0m1.092s

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