prex2mod.m

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%PREX2 PRTOOLS example, plot learning curves of classifiers
help prex2
pause(1)
echo on
						% set desired learning sizes
learnsize = [3 5 10 15 20 30];
						% Generate Highleyman's classes
A = gendath(100,100); 
						% avarage error over 5 repetitions
						% testset is complement of training set
e1 = cleval(lmnc([],3),A,learnsize,5);
figure(1); hold off;
plot(learnsize,e1(1,:),'-'); 
axis([0 30 0 0.3]); hold on; drawnow;
e2 = cleval(lmnc([],5),A,learnsize,5);
plot(learnsize,e2(1,:),'-.'); drawnow;
e3 = cleval(lmnc([],10),A,learnsize,5);
plot(learnsize,e3(1,:),'--'); drawnow;
e4 = cleval(lmnc([],20),A,learnsize,5);
plot(learnsize,e4(1,:),':');  drawnow;
e5 = cleval(lmnc([],50),A,learnsize,5);
plot(learnsize,e5(1,:),'+:');  drawnow;
legend('3 neuroni','5 neuroni','10 neuroni','20 neuroni','50neuroni');
xlabel('Dimensione del training set')
ylabel('Errore');
echo off