I am using two classification algorithms in Weka i.e. Logistic Regression and Naive Bayes and want to know which algorithm has better performance? I need a statistical test like Bayesian, so which type of Bayesian test I need to perform?
Let me explain a bit. I have to perform regression based prediction on two different algorithms. The output is absolute residual I.e difference between actual and predicted values. For instance, algorithm A has results like 0.3, 0.12, 0.01, 0.7, 0.32 etc and algorithm B has values like 0.1, 0.9, 0.56, 0.32, 0.01 etc. The total instances could be more than 100. Now in weka, I got the results that algorithm A is better than B. Now I want to perform a statistical test that these results are not equivalent. In case of Wilcox test, for instance if I get p value less than 0.05, I say A is significantly better than B. How can I do this using baysian test or any other test which does not have p values?