I'm doing some clinical database research and in an effort to lessen the burden on our statistical staff, I started to look for different software solutions to get the analyses I need, and that's where BIDS (business intelligence development studio). BIDS allows queries to be run against a SQL Server and store the results of those queries in a table or view. That table or view is then consumed by BIDS and logistic and linear regressions as while as CART analyses can be done on them.
The x axis that is cut off on the lift chart is 'overall population %'
A mining accuracy chart of the CART
I'm not quite sure how this works in other stats packages, but in BIDS you define a certain percentage of your data set to train the model and the rest of the set is compared against that model and the lift chart shows the improvement in identifying the outcome you desire vs. a guess. I'm only vaguely familiar with CART analyses in the first place, and don't know the first thing about R, but this same analysis was done in R with very similar results. The red portion of what looks like a health meter in a video game corresponds nearly identical to the analysis done in R. However, there are no p values in the BIDS version. Consider the node Max Total Poly Pharm >=7 and < 13. BIDS shows me (not present in the picture) value cases probability not present 2133 91.89
Is there any way to ascertain a p value from that. And does R use any of it's cases as training data for the model?