[R] (package e1071) SVM tune for best parameters: why they are different everytime i run?

Hi, I run the following tuning function for svm. It's very strange that every time i run this function, the best.parameters give different values. [A] svm.tune - tune(svm, train.x, train.y, validation.x=train.x, validation.y=train.y, ranges = list(gamma =

Re: [R] (package e1071) SVM tune for best parameters: why they are different everytime i run?

Maggie Wang wrote: Hi, I run the following tuning function for svm. It's very strange that every time i run this function, the best.parameters give different values. [A] svm.tune - tune(svm, train.x, train.y, validation.x=train.x, validation.y=train.y,

Re: [R] (package e1071) SVM tune for best parameters: why they are different everytime i run?

Thank you so much! I will have a try!! ~ maggie On Dec 27, 2007 6:43 PM, Uwe Ligges [EMAIL PROTECTED] wrote: Maggie Wang wrote: Hi, Uwe, Thanks for the reply!! I have 87 observations in total. If this amount causes the different best.parameters, is there a better way than cross

Re: [R] (package e1071) SVM tune for best parameters: why they are different everytime i run?

Maggie Wang wrote: Hi, Uwe, Thanks for the reply!! I have 87 observations in total. If this amount causes the different best.parameters, is there a better way than cross validation to tune them? In order to get stable (I do not say best) results, you could try some bootstrap with many

Re: [R] (package e1071) SVM tune for best parameters: why they are different everytime i run?

Hi, Uwe, Thanks for the reply!! I have 87 observations in total. If this amount causes the different best.parameters, is there a better way than cross validation to tune them? Thank you so much for the help! Best Regards, Maggie On Dec 27, 2007 6:17 PM, Uwe Ligges [EMAIL PROTECTED] wrote: