How can I plot confusion matrix using the below code?

function [confusion, accuracy, CR, FR] = confusion_matrix(class, c)

class = class.';

c = c.';

n = length(class);

c_len = length(c);

if n ~= sum(c)

disp('ERROR: wrong input!');

return;

end

% confusion matrix

confusion = zeros(c_len, c_len);

a = 0;

for i = 1: c_len

for j = (a + 1): (a + c(i))

confusion(i, class(j)) = confusion(i, class(j)) + 1;

end

a = a + c(i);

end

confusion = confusion';

% Correct_classification_rate + False_alarm_rate + Overall_accuracy

CR = zeros(1, c_len);

FR = zeros(1, c_len);

for i = 1: c_len

CR(i) = confusion(i, i)/sum(confusion(:, i));

FR(i) = (sum(confusion(i,:)) - confusion(i, i))/sum(confusion(i, :));

end

accuracy = sum(diag(confusion))/sum(c);

[KALYAN ACHARJYA]

Thsi is a custom function, you have to pass the data to the function. Read about confusion matrix here.

Answer 1

[Yash Totla]

There is a plotconfusion function in MATLAB Deep Learning Toolbox for plotting the confusion matrix.