parameter selection tool for C-SVM classification using the RBF (radial basis function) kernel
[best_rate,best_c,best_g] = libsvm_grid(label,instance) [best_rate,best_c,best_g] = libsvm_grid(label,instance,log2c,log2g) [best_rate,best_c,best_g] = libsvm_grid(label,instance,log2c,log2g,v) [best_rate,best_c,best_g] = libsvm_grid(label,instance,log2c,log2g,v,option_string)
[begin,end,step]
[begin,end,step]
fold
additional parameters for svmtrain
cross validation accuracy for the best parameter combination
best parameter c
best parameter gamma
libsvm_grid 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(fullfile(libsvm_getpath(),"demos","heart_scale")); [best_rate,best_c,best_g] = libsvm_grid(label,instance) | ![]() | ![]() |