ServerRun 36769
CreatorOlavRG
Programsvmlight-linear
DatasetHealthyS12AsthmaS12
Task typeBinaryClassification
Created2y326d ago
Done! Flag_green
5m2s
33M
BinaryClassification
1m16s
0.173
2m13s
0.214
1m31s

Log file

===== MAIN: learn based on training data =====
=== START program1: ./run learn ../dataset2/train
Scanning examples...done
Reading examples into memory...OK. (98 examples read)
Setting default regularization parameter C=0.1100
Optimizing..............done. (15 iterations)
Optimization finished (17 misclassified, maxdiff=0.00000).
Runtime in cpu-seconds: 0.17
Number of SV: 96 (including 86 at upper bound)
L1 loss: loss=58.25547
Norm of weight vector: |w|=1.95046
Norm of longest example vector: |x|=4.25782
Estimated VCdim of classifier: VCdim<=69.96829
Computing XiAlpha-estimates...done
Runtime for XiAlpha-estimates in cpu-seconds: 0.00
XiAlpha-estimate of the error: error<=94.90% (rho=1.00,depth=0)
XiAlpha-estimate of the recall: recall=>2.08% (rho=1.00,depth=0)
XiAlpha-estimate of the precision: precision=>2.13% (rho=1.00,depth=0)
Number of kernel evaluations: 2038
Writing model file...done
=== END program1: ./run learn ../dataset2/train --- OK [76s]

===== 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. (96 support vectors read)
Classifying test examples..done
Runtime (without IO) in cpu-seconds: 0.00
Accuracy on test set: 56.12% (55 correct, 43 incorrect, 98 total)
Precision/recall on test set: 100.00%/56.12%
=== END program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out --- OK [133s]
=== START program4: ./run evaluate ../dataset2/train ../program0/evalTrain.out
=== END program4: ./run evaluate ../dataset2/train ../program0/evalTrain.out --- OK [1s]

===== 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 [1s]
=== START program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out
Reading model...OK. (96 support vectors read)
Classifying test examples..done
Runtime (without IO) in cpu-seconds: 0.00
Accuracy on test set: 45.24% (19 correct, 23 incorrect, 42 total)
Precision/recall on test set: 100.00%/45.24%
=== END program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out --- OK [91s]
=== START program4: ./run evaluate ../dataset2/test ../program0/evalTest.out
=== END program4: ./run evaluate ../dataset2/test ../program0/evalTest.out --- OK [0s]


real	5m2.602s
user	4m56.459s
sys	0m1.452s

Run specification Arrow_right
Results Arrow_right


Comments:


Must be logged in to post comments.