Comparing models using P-value
I think you can just apply a t-test or Wilcoxon test if you're don't believe in the normality of your observations.

In R:

A &lt;- c(36.52 , 36.27 , 35.9 , 35.22 ,37.13 , 35.53 , 35.3 , 34.14 , 35)
B &lt;- c(36.85 , 35.64 , 36.37 , 36.82 , 36.74,36.46 , 35.77 , 37.31 , 36.68)
wilcox.test(A,B,alternative="less",paired=T)
t.test(A,B,alternative="less",paired=T)


I've done paired tests under the assumption that you did the same folds for each architecture. If that is false, then do unpaired tests.

Edit: You may be interested in a question I posted a few months ago. Cross-validation for model comparison: use the same folds?