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Inserting Confusion Matrix and ROC plot in one figure

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I am trying to plot a Confusion Matrix and a ROC plot in one figure but I can't seem to be able to get it to work. I used the solution provided here but it only plots the ROC plot. Here's my code:
% Plot the Confusion Matrix
cm = confusionchart(targets,predictions,...
'ColumnSummary','column-normalized','RowSummary','row-normalized',...
'Title','PNN Confusion Matrix');
% Plot the ROC plot
classes = ["MyClass 1","MyClass 2","MyClass3","MyClass4","MyClass5","MyClass6"];
roc = plotroc(targets,predictions);
tmp = get(roc,'Children');
lgnd = tmp(2); % Get the ROC plot legend
lgnd.String = cellstr(classes);
% Modified MathWorks Support Team code
figure(3)
ax = zeros(2,1);
for i = 1:2
ax(i)=subplot(2,1,i);
end
for i = 1:2
figure(i)
h = get(gcf,'Children');
newh = copyobj(h,3);
for j = 1:length(newh)
posnewh = get(newh(j),'Position');
possub = get(ax(i),'Position');
set(newh(j),'Position',...
[posnewh(1) possub(2) posnewh(3) possub(4)])
end
delete(ax(i));
end
figure(3)
The plots work correctly if plotted individually but not together.

Accepted Answer

John F
John F on 25 Jun 2022
This is the solution I found
% Plot the Confusion Matrix
hold off
f = figure(1);
cm = confusionchart(targets,predictions,...
'ColumnSummary','column-normalized','RowSummary','row-normalized',...
'Title','PNN Confusion Matrix','Parent',f);
% Plot the ROC plot
classes = ["MyClass 1","MyClass 2","MyClass3","MyClass4","MyClass5","MyClass6"];
figure(2)
roc = plotroc(targets,predictions);
tmp = get(roc,'Children');
lgnd = tmp(2);
lgnd.String = cellstr(classes);
figure(3)
ax = zeros(2,1);
for i = 1:2
ax(i)=subplot(1,2,i);
end
% Modified MathWorks Support Team code
for i = 1:2
figure(i)
h = get(gcf,'Children');
newh = copyobj(h,3);
for j = 1:length(newh)
%posnewh = get(newh(j),'Position');
possub = get(ax(i),'Position');
set(newh(j),'Position',...
[possub(1) possub(2) possub(3) possub(4)])
end
delete(ax(i));
end
close([f roc])
ft = figure(3);
tmp = get (ft,'Children');
lgnd = tmp(2);
lgnd.Location = 'best';

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