 | Run 11726 |
| Creator | trungthanh |
| Program | svmlight-rbf |
| Dataset | crys_1vsrest_88atoms |
| Task type | BinaryClassification |
| Created | 28d16h ago |
| Download | Login required! |
Done! 
| 22s | |
| 69M | |
| BinaryClassification | |
| 13s | |
| 0.087 | |
| 9s | |
| 0.087 | |
| 3s |
Log file
===== MAIN: learn based on training data ===== === START program1: ./run learn ../dataset2/train Scanning examples...done Reading examples into memory...100..200..300..400..500..600..700..800..900..1000..1100..1200..1300..1400..1500..1600..1700..1800..1900..2000..2100..2200..2300..2400..2500..2600..OK. (2625 examples read) Setting default regularization parameter C=0.5068 Optimizing............................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................... Checking optimality of inactive variables...done. Number of inactive variables = 267 done. (1024 iterations) Optimization finished (228 misclassified, maxdiff=0.00099). Runtime in cpu-seconds: 4.42 Number of SV: 2416 (including 248 at upper bound) L1 loss: loss=337.67079 Norm of weight vector: |w|=8.18833 Norm of longest example vector: |x|=1.00000 Estimated VCdim of classifier: VCdim<=135.09747 Computing XiAlpha-estimates...done Runtime for XiAlpha-estimates in cpu-seconds: 0.00 XiAlpha-estimate of the error: error<=9.45% (rho=1.00,depth=0) XiAlpha-estimate of the recall: recall=>0.00% (rho=1.00,depth=0) XiAlpha-estimate of the precision: precision=>0.00% (rho=1.00,depth=0) Number of kernel evaluations: 3525362 Writing model file...done === END program1: ./run learn ../dataset2/train --- OK [13s] ===== 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...OK. (2416 support vectors read) Classifying test examples..100..200..300..400..500..600..700..800..900..1000..1100..1200..1300..1400..1500..1600..1700..1800..1900..2000..2100..2200..2300..2400..2500..2600..done Runtime (without IO) in cpu-seconds: 2.41 === END program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out --- OK [9s] === 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...OK. (2416 support vectors read) Classifying test examples..100..200..300..400..500..600..done Runtime (without IO) in cpu-seconds: 0.57 === END program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out --- OK [3s] === START program4: ./run evaluate ../dataset2/test ../program0/evalTest.out === END program4: ./run evaluate ../dataset2/test ../program0/evalTest.out --- OK [0s] real 0m25.454s user 0m9.257s sys 0m0.172s
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