I am applying kNN and SVM classifiers to my classification problem. Both of the classifiers get over 95% cross-validation accuracy (leave one out cross validation used). Not sure how to tell if the results of two classifiers are statistically significant different?
I did a little bit search that
these posts discussed this topic; however, I am still confused how they use hypothetical test for this purpose.
For example, I have two cross-validation accuracies and how to form the 2 × 2 contingency tables of McNemar's test?
If my performance measure is AUC of ROC curve, then how to perform the McNemar's test? Thanks a lot. A.