 | Run 1958 |
| Creator | internal |
| Program | svmlight_regression |
| Dataset | auto-mpg |
| Task type | Regression |
| Created | 1y122d ago |
| Download | Login required! |
Done! 
| 1s | |
| 28M | |
| Regression | |
| 23.5 | |
| 17.4 | |
Log file
===== MAIN: learn based on training data ===== === START program1: ./run learn ../dataset2/train Scanning examples...done Reading examples into memory...100..200..OK. (279 examples read) Setting default regularization parameter C=0.0000 Optimizing................................................................................................................................................................................................................done. (209 iterations) Optimization finished (maxdiff=0.00077). Runtime in cpu-seconds: 1.24 Number of SV: 275 (including 273 at upper bound) L1 loss: loss=939.40725 Norm of weight vector: |w|=0.00586 Norm of longest example vector: |x|=5158.52421 Number of kernel evaluations: 16142 Writing model file...done === END program1: ./run learn ../dataset2/train --- OK [1s] ===== 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. (275 support vectors read) Classifying test examples..100..200..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. (275 support vectors read) Classifying test examples..100..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 0m1.628s user 0m1.416s sys 0m0.060s
Run specification 
Results
Must be logged in to post comments.