I just want to make sure I'm doing things right!
I created 2 algorithms that classify my data into 2 groups. The first one gives me an accuracy of 76.66% (sensitivity=0.76, specificity=0.78). The second one: accuracy 81.33% (sensitivity=0.86, specificity=0.76)
So i wanted to know if this improvement is "statistically significant". I used McNemar's test (statistical test used on paired nominal data. It is applied to 2 × 2 contingency tables).
Is it a "good" way to proceed? if not which test should I choose?