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Diffstat (limited to 'data/iris/svm_light/virginica.learnout')
-rw-r--r-- | data/iris/svm_light/virginica.learnout | 18 |
1 files changed, 18 insertions, 0 deletions
diff --git a/data/iris/svm_light/virginica.learnout b/data/iris/svm_light/virginica.learnout new file mode 100644 index 0000000..2dee3bc --- /dev/null +++ b/data/iris/svm_light/virginica.learnout @@ -0,0 +1,18 @@ +Scanning examples...done +Reading examples into memory...100..OK. (150 examples read) +Setting default regularization parameter C=0.0162 +Optimizing..............................................done. (47 iterations) +Optimization finished (9 misclassified, maxdiff=0.00047). +Runtime in cpu-seconds: 0.00 +Number of SV: 83 (including 80 at upper bound) +L1 loss: loss=45.24874 +Norm of weight vector: |w|=0.76906 +Norm of longest example vector: |x|=11.11126 +Estimated VCdim of classifier: VCdim<=62.16794 +Computing XiAlpha-estimates...done +Runtime for XiAlpha-estimates in cpu-seconds: 0.00 +XiAlpha-estimate of the error: error<=54.67% (rho=1.00,depth=0) +XiAlpha-estimate of the recall: recall=>18.00% (rho=1.00,depth=0) +XiAlpha-estimate of the precision: precision=>18.00% (rho=1.00,depth=0) +Number of kernel evaluations: 1939 +Writing model file...done |