 | Run 7380 |
| Creator | frankman |
| Program | svmlight_multiclass-linear |
| Dataset | forTestingOnly |
| Task type | MulticlassClassification |
| Created | 1y120d ago |
Failed! 
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| (see end of log file) | |
| 1s | |
| 0B | |
| BinaryClassification | |
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... (6 examples) done Training set properties: 2 features, 2 classes Iter 1: ......*(NumConst=1, SV=1, CEps=100.0000, QPEps=0.0000) Iter 2: *(NumConst=2, SV=1, CEps=99.9639, 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=9.99819 Primal objective value: pval=9.99819 Total number of constraints in final working set: 2 (of 2) Number of iterations: 3 Number of calls to 'find_most_violated_constraint': 12 Number of SV: 1 Norm of weight vector: |w|=0.06009 Value of slack variable (on working set): xi=99.96389 Value of slack variable (global): xi=99.96389 Norm of longest difference vector: ||Psi(x,y)-Psi(x,ybar)||=0.60093 Runtime in cpu-seconds: 0.00 Final number of constraints in cache: 12 Compacting linear model...done Writing learned model...done === END program2: ./run learn ../program1/data --- OK [0s] === END program1: ./run learn ../dataset3/train --- OK [0s] ===== 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 [0s] === 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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