 | Run 7383 |
| Creator | frankman |
| Program | svmlight-rbf |
| Dataset | forTestingOnly |
| Task type | BinaryClassification |
| Created | 1y120d ago |
Done! 
| 1s | |
| 0B | |
| BinaryClassification | |
| 0.167 | |
| 1 | |
Log file
===== MAIN: learn based on training data ===== === START program1: ./run learn ../dataset2/train Scanning examples...done Reading examples into memory...OK. (6 examples read) Setting default regularization parameter C=1.2848 Optimizing..done. (3 iterations) Optimization finished (1 misclassified, maxdiff=0.00000). Runtime in cpu-seconds: 0.00 Number of SV: 4 (including 4 at upper bound) L1 loss: loss=2.71446 Norm of weight vector: |w|=1.28517 Norm of longest example vector: |x|=1.00000 Estimated VCdim of classifier: VCdim<=3.08811 Computing XiAlpha-estimates...done Runtime for XiAlpha-estimates in cpu-seconds: 0.00 XiAlpha-estimate of the error: error<=66.67% (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: 117 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 [0s] real 0m0.254s user 0m0.200s sys 0m0.048s
Run specification 
Results
Must be logged in to post comments.