statistics of K-fold decision tree using JMP 1

[paleolithic]

Hi everyone,

I'm looking for some help to interpret a decision tree result using k-fold cross validation in JMP Statistical Software.

Basically, after partionning my data where both response and variables are continuous, I got a tree with the decision rules and a statistics associated with the k-fold cross validation. Are displayed, the number of cross validation rounds (let say K-FOLD=10) then the two following statistics :

(i) CROSSVAL SSE = 29.96
(ii) SSE = 21.89

How can I interpret this ? I understand from help in the software that because I have continuous response, sum of squares are calculated.

Many thanks in advance for kind suggestions

Paleolithic

 

[MrMask]

cross validation is a type of test in which a data set is split in "k" sub-groups. The model is tested on those sub-groups that were not used for the model building. So your cross-validation SSE (Sum of Squared Errors) is very close to the initial model SSE, meaning it is robust.

 

[paleolithic]

Thumbs up ! thanks Mr Mask