 | Run 1955 |
| Creator | internal |
| Program | svmlight_regression |
| Dataset | autos |
| Task type | Regression |
| Created | 1y120d ago |
| Download | Login required! |
Done! 
| 1s | |
| 0B | |
| Regression | |
| 1.55 | |
| 1.47 | |
Log file
===== MAIN: learn based on training data ===== === START program1: ./run learn ../dataset2/train Scanning examples...done Reading examples into memory...100..OK. (144 examples read) Setting default regularization parameter C=0.0000 Optimizing....................................................................................................................................................................................................................................................................................................................................................................................................................................................done. (437 iterations) Optimization finished (maxdiff=0.00000). Runtime in cpu-seconds: 0.13 Number of SV: 122 (including 120 at upper bound) L1 loss: loss=126.65720 Norm of weight vector: |w|=0.00010 Norm of longest example vector: |x|=45775.52324 Number of kernel evaluations: 26322 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. (122 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. (122 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 0m0.562s user 0m0.304s sys 0m0.064s
Run specification 
Results
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