Differences in scoring from PMML model on different platforms
The difference was, it appears, due to the different implementation of Random Forests in R and Cascading Pattern (as well as openscoring which I tried later) with respect to ties in the tree voting - i.e. when an even number of trees are built (say, 500) and exactly half classify an application as Good, and the other half as Bad, the handling of those situations differs. Solved it by growing and odd (501) number of trees.