 | Run 7765 |
| Creator | internal |
| Program | svmlight-linear |
| Dataset | dummy dataset |
| Task type | BinaryClassification |
| Created | 1y121d ago |
Done! 
| 1s | |
| 0B | |
| BinaryClassification | |
| 0.471 | |
| 0.383 | |
Log file
===== MAIN: learn based on training data ===== === START program1: ./run learn ../dataset2/train Scanning examples...done Reading examples into memory...100..OK. (140 examples read) Setting default regularization parameter C=4.5604 Optimizing.............................................................................................done. (94 iterations) Optimization finished (66 misclassified, maxdiff=0.00000). Runtime in cpu-seconds: 0.00 Number of SV: 134 (including 132 at upper bound) L1 loss: loss=132.46041 Norm of weight vector: |w|=2.15811 Norm of longest example vector: |x|=0.98011 Estimated VCdim of classifier: VCdim<=5.45283 Computing XiAlpha-estimates...done Runtime for XiAlpha-estimates in cpu-seconds: 0.00 XiAlpha-estimate of the error: error<=95.71% (rho=1.00,depth=0) XiAlpha-estimate of the recall: recall=>5.63% (rho=1.00,depth=0) XiAlpha-estimate of the precision: precision=>5.63% (rho=1.00,depth=0) Number of kernel evaluations: 2133 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. (134 support vectors read) Classifying test examples..100..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. (134 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 [0s] real 0m0.860s user 0m0.236s sys 0m0.116s
Run specification 
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