If I run a 5-fold cross validation on a particular data set on Weka, I will have a set of optimized parameter.
What is actually this parameter result that I am getting from a 5-fold cross validation?
How can I use this parameter to run another 10-fold cross validation on weka?
Which classification algorithm are you using?
Regardless, you can use weka's meta classifier, CVparameterSelection, to figure out the optimal values/combinations of input parameters for your classifier and then re-run with those values specified. For a pretty good explaination, check here: http://weka.wikispaces.com/Optimizing+parameters