[R] Cross-validation accuracy in SVM
Ton van Daelen
tvandaelen at scitegic.com
Thu Jan 20 20:46:03 CET 2005
Hi all -
I am trying to tune an SVM model by optimizing the cross-validation
accuracy. Maximizing this value doesn't necessarily seem to minimize the
number of misclassifications. Can anyone tell me how the
cross-validation accuracy is defined? In the output below, for example,
cross-validation accuracy is 92.2%, while the number of correctly
classified samples is (1476+170)/(1476+170+4) = 99.7% !?
Thanks for any help.
Regards - Ton
---
Parameters:
SVM-Type: C-classification
SVM-Kernel: radial
cost: 8
gamma: 0.007
Number of Support Vectors: 1015
( 148 867 )
Number of Classes: 2
Levels:
false true
5-fold cross-validation on training data:
Total Accuracy: 92.24242
Single Accuracies:
90 93.33333 94.84848 92.72727 90.30303
Contingency Table
predclasses
origclasses false true
false 1476 0
true 4 170
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