ServerRun 13236
Creatoryorinasub17
Programsvmlight_multiclass
Datasetthyroid-euthyroid
Task typeMulticlassClassification
Created1y362d ago
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1s
26M
MulticlassClassification
0.089
0.100

Log file

===== MAIN: learn based on training data =====
=== START program1: ./run learn ../dataset2/train
Using hyperparameter c = 0.1
Reading training examples... (2214 examples) done
Training set properties: 32 features, 2 classes
Iter 1: .........*(NumConst=1, SV=1, CEps=100.0000, QPEps=0.0000)
Iter 2: *(NumConst=2, SV=2, CEps=29.3208, QPEps=4.6953)
Iter 3: .........*(NumConst=3, SV=2, CEps=6.8438, QPEps=0.0001)
Iter 4: *(NumConst=4, SV=2, CEps=2.2114, QPEps=0.4672)
Iter 5: .........*(NumConst=5, SV=2, CEps=0.5659, QPEps=0.0255)
Iter 6: *(NumConst=6, SV=2, CEps=0.1740, QPEps=0.0069)
Iter 7: .........(NumConst=6, SV=2, CEps=0.0533, QPEps=0.0069)
Final epsilon on KKT-Conditions: 0.05328
Upper bound on duality gap: 0.00524
Dual objective value: dval=3.06402
Primal objective value: pval=3.06926
Total number of constraints in final working set: 6 (of 6)
Number of iterations: 7
Number of calls to 'find_most_violated_constraint': 8856
Number of SV: 2 
Norm of weight vector: |w|=0.74961
Value of slack variable (on working set): xi=27.83666
Value of slack variable (global): xi=27.88308
Norm of longest difference vector: ||Psi(x,y)-Psi(x,ybar)||=175.31040
Runtime in cpu-seconds: 0.03
Final number of constraints in cache: 4428
Compacting linear model...done
Writing learned model...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...done.
Reading test examples... (2214 examples) done.
Classifying test examples...done
Runtime (without IO) in cpu-seconds: 0.02
Average loss on test set: 0.0000
Zero/one-error on test set: 0.00% (2214 correct, 0 incorrect, 2214 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... (949 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% (949 correct, 0 incorrect, 949 total)
=== END program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out --- OK [1s]
=== START program4: ./run evaluate ../dataset2/test ../program0/evalTest.out
=== END program4: ./run evaluate ../dataset2/test ../program0/evalTest.out --- OK [0s]


real	0m1.632s
user	0m0.500s
sys	0m0.092s

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