 | Run 1897 |
| Creator | internal |
| Program | svmlight_multiclass-linear |
| Dataset | breast-cancer |
| Task type | MulticlassClassification |
| Created | 28d18h ago |
| Download | Login required! |
Done! 
| 1s | |
| 0B | |
| MulticlassClassification | |
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| 0.310 | |
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Log file
===== MAIN: learn based on training data ===== === START program1: ./run learn ../dataset2/train Using hyperparameter c = 0.1 Reading training examples... (200 examples) done Training set properties: 36 features, 2 classes Iter 1: .........*(NumConst=1, SV=1, CEps=100.0000, QPEps=0.0000) Iter 2: *(NumConst=2, SV=1, CEps=99.7924, QPEps=0.0000) Iter 3: .........(NumConst=2, SV=1, CEps=0.0000, QPEps=0.0000) Final epsilon on KKT-Conditions: 0.00000 Upper bound on duality gap: 0.00000 Dual objective value: dval=9.98962 Primal objective value: pval=9.98962 Total number of constraints in final working set: 2 (of 2) Number of iterations: 3 Number of calls to 'find_most_violated_constraint': 400 Number of SV: 1 Norm of weight vector: |w|=0.14407 Value of slack variable (on working set): xi=99.79244 Value of slack variable (global): xi=99.79244 Norm of longest difference vector: ||Psi(x,y)-Psi(x,ybar)||=1.44069 Runtime in cpu-seconds: 0.00 Final number of constraints in cache: 400 Compacting linear model...done Writing learned model...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...done. Reading test examples... (200 examples) done. Classifying test examples...done Runtime (without IO) in cpu-seconds: 0.00 Average loss on test set: 0.0000 Zero/one-error on test set: 0.00% (200 correct, 0 incorrect, 200 total) === 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 [1s] ===== 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...done. Reading test examples... (86 examples) done. Classifying test examples...done Runtime (without IO) in cpu-seconds: 0.00 Average loss on test set: 0.0000 Zero/one-error on test set: 0.00% (86 correct, 0 incorrect, 86 total) === 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 0m0.355s user 0m0.192s sys 0m0.044s
Run specification 
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