function [cf_mat, total_error] = get_confusion_error(predictions, num_classes)
    actuals = [];
    if num_classes == 2
        actuals = [repmat(1,1,200) repmat(2,1,200)];
    else
        actuals = [repmat(1,1,100) repmat(2,1,200) repmat(3,1,150)];
    end
    cf_mat = repmat(0,num_classes,num_classes);
    for i = 1:length(actuals)
        cf_mat(actuals(i), predictions(i)) = cf_mat(actuals(i), predictions(i)) + 1;
    end
    total_error = sum(cf_mat, 'all');
    errors = [];
    for i = 1:length(cf_mat)
        errors = [errors, (sum(cf_mat(i, :))-cf_mat(i, i))/sum(cf_mat(i, :))];
        total_error = total_error - cf_mat(i,i);
    end
    total_error = total_error/sum(cf_mat, 'all');
end