 | Run 20585 |
| Creator | internal |
| Program | svmlight_multiclass |
| Dataset | Brunato_Battiti_Multi_1 |
| Task type | MulticlassClassification |
| Created | 324d13h ago |
| Download | Login required! |
Done! 
| MulticlassClassification | |
| 0s | |
| 0.250 | |
| 0s | |
| 0.273 | |
| 0s |
Log file
===== MAIN: learn based on training data ===== === START program1: ./run learn ../dataset2/train Using hyperparameter c = 0.1 Reading training examples... (180 examples) done Training set properties: 6 features, 4 classes Iter 1: .........*(NumConst=1, SV=1, CEps=100.0000, QPEps=0.0000) Iter 2: *(NumConst=2, SV=2, CEps=50.3954, QPEps=14.0125) Iter 3: *(NumConst=3, SV=3, CEps=16.4674, QPEps=0.0000) Iter 4: *(NumConst=4, SV=3, CEps=11.3970, QPEps=0.0000) Iter 5: *(NumConst=5, SV=3, CEps=11.1348, QPEps=4.4407) Iter 6: .........*(NumConst=6, SV=2, CEps=120.3459, QPEps=0.0000) Iter 7: .........*(NumConst=7, SV=3, CEps=16.8945, QPEps=8.2176) Iter 8: *(NumConst=8, SV=3, CEps=10.0747, QPEps=4.7181) Iter 9: *(NumConst=9, SV=3, CEps=9.5275, QPEps=2.5266) Iter 10: *(NumConst=10, SV=3, CEps=3.0188, QPEps=0.0006) Iter 11: .........*(NumConst=11, SV=4, CEps=1.0085, QPEps=0.0000) Iter 12: *(NumConst=12, SV=3, CEps=0.5567, QPEps=0.0029) Iter 13: *(NumConst=13, SV=4, CEps=2.3587, QPEps=0.0000) Iter 14: *(NumConst=14, SV=4, CEps=0.4618, QPEps=0.0001) Iter 15: *(NumConst=15, SV=4, CEps=0.2730, QPEps=0.0756) Iter 16: *(NumConst=16, SV=4, CEps=0.1195, QPEps=0.0579) Iter 17: .........*(NumConst=17, SV=4, CEps=0.1003, QPEps=0.0205) Iter 18: .........(NumConst=17, SV=4, CEps=0.0874, QPEps=0.0205) Final epsilon on KKT-Conditions: 0.08736 Upper bound on duality gap: 0.00795 Dual objective value: dval=9.76573 Primal objective value: pval=9.77368 Total number of constraints in final working set: 17 (of 17) Number of iterations: 18 Number of calls to 'find_most_violated_constraint': 1080 Number of SV: 4 Norm of weight vector: |w|=0.68450 Value of slack variable (on working set): xi=95.32726 Value of slack variable (global): xi=95.39410 Norm of longest difference vector: ||Psi(x,y)-Psi(x,ybar)||=43.34841 Runtime in cpu-seconds: 0.14 Final number of constraints in cache: 683 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... (180 examples) done. Classifying test examples...done Runtime (without IO) in cpu-seconds: 0.00 Average loss on test set: 50.5556 Zero/one-error on test set: 50.56% (89 correct, 91 incorrect, 180 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 [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...done. Reading test examples... (77 examples) done. Classifying test examples...done Runtime (without IO) in cpu-seconds: 0.00 Average loss on test set: 58.4416 Zero/one-error on test set: 58.44% (32 correct, 45 incorrect, 77 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 0m0.902s user 0m0.592s sys 0m0.280s
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