adaboost_ex

Adaboost 2D examples based on perceptrons and decision stumps

PRTools should be in the path. Download the m-file from here,

See http://37steps.com/prtools for more.

Contents

Generate simple 2D examples
Run adaboost, 200 iterations, linear peceptron as weak classifier
Run adaboost, 200 iterations, decision stump as weak classifier

Generate simple 2D examples

randreset; % for reproducability
a = prdataset([gencirc(100);gencirc(100)*0.5],genlab([100 100]));
a = setprior(a,0);
delfigs

Run adaboost, 200 iterations, linear peceptron as weak classifier

figure; w = adaboostc(a,perlc([],1),200,[],1);
title('200 base classifiers: single epoch linear perceptron');
fontsize(14);
figure; scatterd(a); plotc(w)
title('Result adaboost, 200 weak classifiers combined');
fontsize(14);

Run adaboost, 200 iterations, decision stump as weak classifier

figure; w = adaboostc(a,stumpc,200,[],3);
title('200 base classifiers: single epoch decision stump');
fontsize(14);
figure; scatterd(a); plotc(w)
title('Result adaboost, 200 weak classifiers combined');
fontsize(14);
%showfigs