n = 100;
groundtruth = randi(2 ,n, 1);
pred = randi(2, n, 1);
% Initialize the confusion matrix
numClasses = max(groundtruth);
confusionMatrix = zeros(numClasses);
% Calculate the confusion matrix
for i = 1:length(groundtruth)
trueClass = groundtruth(i);
predictedClass = pred(i);
confusionMatrix(predictedClass, trueClass) = confusionMatrix(predictedClass, trueClass) + 1;
end
actual_1 = confusionMatrix(:,1);
actual_2 = confusionMatrix(:,2);
confusionMatrixTable = table(actual_1, actual_2, 'rownames', ["pred_1", "pred_2"])
