Results +/- Error notation
It's a bit a picky question but I wanted to make sure that I understood right.
In case of results of the binary classification performace operator, when crossvalidation is applied,
A result is for example denoted as AUC 0.569 +/- 0.074.
Are the errors noted after +/- the standard error or the 0.95-CI?
In a course I learned that both exists so thats why I am asking.