 | Run 20602 |
| Creator | internal |
| Program | svmlight_multiclass |
| Dataset | big_is_bad |
| Task type | MulticlassClassification |
| Created | 321d12h ago |
| Download | Login required! |
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| (see end of log file) | |
| BinaryClassification | |
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Log file
===== MAIN: learn based on training data ===== === START program1: ./run learn ../dataset3/train === START program2: ./run learn ../program1/data Using hyperparameter c = 0.1 Reading training examples... (8140 examples) done Training set properties: 12 features, 2 classes Iter 1: .........*(NumConst=1, SV=1, CEps=100.0000, QPEps=0.0000) Iter 2: *(NumConst=2, SV=1, CEps=79.3278, QPEps=8.9247) Iter 3: *(NumConst=3, SV=2, CEps=10.3415, QPEps=5.0443) Iter 4: .........*(NumConst=4, SV=2, CEps=5.7129, QPEps=2.5143) Iter 5: *(NumConst=5, SV=2, CEps=0.9454, QPEps=0.2722) Iter 6: .........*(NumConst=6, SV=2, CEps=0.4157, QPEps=0.1660) Iter 7: *(NumConst=7, SV=2, CEps=0.2060, QPEps=0.0071) Iter 8: .........(NumConst=7, SV=2, CEps=0.0533, QPEps=0.0071) Final epsilon on KKT-Conditions: 0.05329 Upper bound on duality gap: 0.00584 Dual objective value: dval=8.90984 Primal objective value: pval=8.91568 Total number of constraints in final working set: 7 (of 7) Number of iterations: 8 Number of calls to 'find_most_violated_constraint': 32560 Number of SV: 2 Norm of weight vector: |w|=0.90383 Value of slack variable (on working set): xi=85.01893 Value of slack variable (global): xi=85.07223 Norm of longest difference vector: ||Psi(x,y)-Psi(x,ybar)||=42.67137 Runtime in cpu-seconds: 0.25 Final number of constraints in cache: 16280 Compacting linear model...done Writing learned model...done === END program2: ./run learn ../program1/data --- OK [0s] === END program1: ./run learn ../dataset3/train --- OK [1s] ===== MAIN: predict/evaluate on train data ===== === START program4: ./run stripLabels ../dataset3/train ../program0/evalTrain.in === END program4: ./run stripLabels ../dataset3/train ../program0/evalTrain.in --- OK [1s] === START program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out === START program2: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out.multiclass-output Reading model...done. Reading test examples... ERROR: The class label '0.000000' of example number 1 is not greater than '1'! ./run:22: Failed (RuntimeError) === END program2: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out.multiclass-output --- FAILED [0s] === END program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out --- FAILED [0s]
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