csci5521/zoo/zoo.m
2023-09-13 18:43:30 -05:00

20 lines
634 B
Matlab

load zoo; %load matlab data
t = fitctree(trn_data,trn_lab,'PredictorNames', fields); %train a decision tree for classification
view(t,'Mode','graph'); %visualize the tree t
%for visualization
allHandles=findall(groot,'Type','text')
set(allHandles,'FontSize',24)
pause;
h = findall(groot,'Type','figure');
close(h);
for i=1:6
clf(gcf);
imshow(strcat(tst_names{i},'.png'));
set(gcf,'Position',[0 0 700 700]+300);
title(tst_names{i},'FontSize',40);
pause;
y=predict(t,tst_data(i,:)); %classify a test sample by tree t
title(sprintf('%s is %s',tst_names{i},y{1}),'FontSize',40,'color', 'r');
pause;
end