Hello, I am comparing 2 supervised learning classification algorithms on some training data, I have the following table yielding the 10-fold cross validation accuracies for the 2 Algorithms. What I am interested in knowing, is at what confidence interval can one assume that Algorithm 1 outperforms Algorithm 2?

It would be very much appreciated if someone could help me with this problem

Kind regards

Ronnie!

```
CV Fold Algorithm 1 Algorithm 2
1 91.11 90.7
2 90.48 90.52
3 91.87 90.88
4 90.52 90.87
5 89.88 90.02
6 89.77 88.99
7 91.44 90.98
8 90.88 91.44
9 90.77 90.77
10 90.89 90.92
```