parameter selection tool for C-SVM classification using the RBF (radial basis function) kernel
[best_rate,best_c,best_g] = svmgrid(label,instance) [best_rate,best_c,best_g] = svmgrid(label,instance,log2c,log2g) [best_rate,best_c,best_g] = svmgrid(label,instance,log2c,log2g,v) [best_rate,best_c,best_g] = svmgrid(label,instance,log2c,log2g,v,option_string)
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additional parameters for svmtrain
svmgrid is a parameter selection tool for C-SVM classification using the RBF (radial basis function) kernel. It uses cross validation (CV) technique to estimate the accuracy of each parameter combination in the specified range and helps you to decide the best parameters for your problem.
[label,instance]=libsvmread("demos/heart_scale"); best_rate = svmgrid(label,instance);