dear pavel

how to find the classification rate, number of support vector, training time or CPU time when this code is applied;
>>load dataeigen
>> A = dataset(data,genlab([96,96 ],[1 2]’));
>> w=svc(z,’r’,0.1,100);
>> figure;scatterd(A);
>> plotc(w);

tq
shaqay

Use ‘testc’ for error estimation by a testset
See ‘help svc’ for finding support vectors
Use standard Matlab timing tools for estimating CPU time

Bob Duin