Hi all, i've a problem: i'm using a node of regression in SAS EM WORKSTATION 12.1; I'm using a cross-validation method and my aim is getting a logistic regression with the possible insertion of significant interactions. So my settings are: principal effect--> YES 2 factors interactions -->yes polynomial terms -->yes maximum degree of polynomial terms = 2 regression kind = logistic regression selection method= stepwise selection criterion= crossvalidation error (this bcs i'm using cross-validation) The final model proposed is: Intercept Gravidanze*Pedigree IMP_BMI*IMP_Diastolica IMP_BMI*IMP_Glucosio IMP_Insulina*Pedigree (for the full output see the attachment stattalk.txt) So all my effects are interactions of quantitative variable ad no principal effect seems to be significant. I'm trying to find an explanation to this output.. can someone help me? But that's not all, because if i modify settings and sat up "2 factor interactions-->NO" (I do not modify others settings) and i run the node i obtain the same output.. ..so i think there is something wrong, but can someone tell me what? i wait for some advice Smiley Happy thank you in advance!           ... View more

Hi, this is my problem:   I've got a dataset on which i've to apply the technics of data mining. Because my dataset is small (about 700 obs.) i thought not to use external validation, but cross-validation (10 fold); Although i don't now how to make it on Enterprise Miner: I mean, when i specify some models i can't find the way to tell Enterprise Miner to use cross-validation. I E in trees models there is the explicit option "execute crossvalidation yes/no" but in other type models i can't find it. So someone can help me to use cross-validation with regression and MBR models?   I hope i've written something you can understand. Thank you  ... View more