parameter selection tool for linear classification
[best_rate,best_c,best_s] = libsvm_gridlinear(label,instance) [best_rate,best_c,best_s] = libsvm_gridlinear(label,instance,log2c) [best_rate,best_c,best_s] = libsvm_gridlinear(label,instance,log2c,s_seq) [best_rate,best_c,best_s] = libsvm_gridlinear(label,instance,log2c,s_seq,v) [best_rate,best_c,best_s] = libsvm_gridlinear(label,instance,log2c,s_seq,v,option_string)
[begin,end,step]
linear kernels (0 - 7, 11 - 13), e.g. [0 1 4]
fold
additional parameters for svmtrain
cross validation accuracy for the best parameter combination
best parameter c
best linear kernel
libsvm_gridlinear is a parameter selection tool for linear classification. 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_s] = libsvm_gridlinear(label,instance) | ![]() | ![]() |