ServerRun 30445
Creatorjinjingwen
Programsvmlight-linear
Datasett18
Task typeBinaryClassification
Created3y224d ago
DownloadLogin required!
Done! Flag_green
2s
29M
BinaryClassification
0s
0.344
0s
0.308
0s

Log file

===== MAIN: learn based on training data =====
=== START program1: ./run learn ../dataset2/train
Scanning examples...done
Reading examples into memory...100..OK. (151 examples read)
Setting default regularization parameter C=0.0117
Optimizing..........................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................done. (875 iterations)
Optimization finished (52 misclassified, maxdiff=0.00100).
Runtime in cpu-seconds: 0.20
Number of SV: 121 (including 86 at upper bound)
L1 loss: loss=103.67025
Norm of weight vector: |w|=0.06213
Norm of longest example vector: |x|=14.96306
Estimated VCdim of classifier: VCdim<=1.86424
Computing XiAlpha-estimates...done
Runtime for XiAlpha-estimates in cpu-seconds: 0.00
XiAlpha-estimate of the error: error<=72.19% (rho=1.00,depth=0)
XiAlpha-estimate of the recall: recall=>42.42% (rho=1.00,depth=0)
XiAlpha-estimate of the precision: precision=>44.68% (rho=1.00,depth=0)
Number of kernel evaluations: 49943
Writing model file...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 [1s]
=== START program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out
Reading model...OK. (121 support vectors read)
Classifying test examples..100..done
Runtime (without IO) in cpu-seconds: 0.00
Accuracy on test set: 100.00% (151 correct, 0 incorrect, 151 total)
Precision/recall on test set: 100.00%/100.00%
=== 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 [1s]
=== START program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out
Reading model...OK. (121 support vectors read)
Classifying test examples..done
Runtime (without IO) in cpu-seconds: 0.00
Accuracy on test set: 100.00% (65 correct, 0 incorrect, 65 total)
Precision/recall on test set: 100.00%/100.00%
=== 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	0m2.634s
user	0m1.148s
sys	0m0.364s

Run specification Arrow_right
Results Arrow_right


Comments:


Must be logged in to post comments.