design the function function loss = detection_error_loss(t_hat, t) that computes the empirical detection-error loss of binary predictions t_hat ith respect to the true targets t in matlab

main.m
function loss = detection_error_loss(t_hat, t)
% This function computes the empirical detection-error loss of binary predictions t_hat with respect to the true targets t.

% Get number of examples
N = length(t);

% Compute the detection error loss for each example
det_error_loss = zeros(N,1);
for i = 1:N
    if t_hat(i) == t(i)
        % Correct detection
        det_error_loss(i) = 0;
    elseif t_hat(i) == 1 && t(i) == 0
        % False positive
        det_error_loss(i) = 1;
    elseif t_hat(i) == 0 && t(i) == 1
        % False negative
        det_error_loss(i) = 1;
    end
end

% Compute the average detection-error loss over all examples
loss = sum(det_error_loss) / N;
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