finding optimal parameters

Hi,
I want to obtain optimal parameters for RBF and polynomial kernel in 'SMO reg' classifier, so I did following procedure:

loaded dataset in the Explorer
chose weka.classifiers.meta.CVParameterSelection as classifier
selected weka.classifiers.functions.SMOreg as base classifier within CVParameterSelection and selected RBF kernel in it.
opened the ArrayEditor for CVParameters and enter the following string (and clicked on Add):
gamma 0.01 0.1 10
closed the dialog box
chose 'use training set' in test options
started the classifier
According to this page: http://weka.wikispaces.com/Optimizing+parameters, best parameters are found in bold....
In the below output, I am unable to find the optimal value for gamma found in bold? could you plz help me in identifying ...


=== Classifier model (full training set) ===


Cross-validated Parameter selection.
Classifier: weka.classifiers.functions.SMOreg
Cross-validation Parameter: '-gamma' ranged from 0.01 to 0.1 with 10.0 steps
Classifier Options: -gamma 0.01 -C 1.0 -N 0 -I "weka.classifiers.functions.supportVector.RegSMOImproved -L 0.0010 -W 1 -P 1.0E-12 -T 0.0010 -V" -K "weka.classifiers.functions.supportVector.RBFKernel -C 250007 -G 0.01"