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best accuracy from 10-fold Cross validation on SVM with grid search optimal gamma value and C
Contributor IHow i find the best accuracy from 10-fold Cross validation on SVM with grid search for finding optimal gamma value and C?
how i can set the operators in Rapidminer for finding the optimal value of gamma and C with the best accuracy?
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@Kian you should try to search through the threads here, there's a bunch of examples. Or you could check out this example: https://www.neuralmarkettrends.com/predicting-historical-volatility-for-the-sp500/
I also recommend reading: Practical Guide to Support Vector Classification
In short, they recommend a grid search for gamma = {2^-15, 2^-13, 2^-11, ... 2^3} and C = {2^-5, 2^-3, ..., 2^15}.