Hello to all.
I have a small confusion, kindly if you could suggest something?
I need to compare two algorithms, CART and NNET in R. The results show that
NNET has better MAE value, but I want to find if there is any significance
difference between the results of both algorithms? The dataset I used is
about regression problem. Hence, I used wilcoxon test as:
//For CART
search <- train(Results ~ ., data = training,
method = "rpart",
metric = "MAE",
preProc = c("center", "scale", "zv" ),
getTrainPerf(search)
x=resid(search)
Then
<https://www.facebook.com/thenmozhi.ramagounder?__tn__=%2CdK-R-R&eid=ARBBMjI1AS5FYMfsAWEjxzbMRUd3GZnEPAAuE2ci8UORtsysXGV9i9TGqCy_e6m3hE_e-t8V7TXcVo-F&fref=mentions>
for
NNET
search2 <- train(Results ~ ., data = training,
method = "nnet",
metric = "MAE",
preProc = c("center", "scale", "zv" ),
getTrainPerf(search2)
x2=resid(search2)
wilcox.test(x,x2)
I want to ask is it the right way to find the significance test? And , if
not what is the better way. Kindly suggest me a solution as I have searched
a lot related to it on the web but found nothing.
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