Thank you Reeza. I created a 50-50 sample from th Input Node by going on Stratification-->Options--> Equal Size. This appears to work fine when a Tree is run, however problems arise when I try the scoring as I would like to use a test set with the original proportions. Finally I have created 2 files in SQL, one for training and validation (with 50-50 proportions) and one for test with the original proportions. I simply create a different partition as I take my test set from another file. I also noticed that - when I created the 50-50 sample from the original file - the decision tree worked fine and gave me a nice confusion matrix but neural nets and regression ignored the equal size option resulting in a confusion matrix with 14% of the observations belonging to the class of interest. I now don't have this problem anymore as I solved it manually but do you know if the Stratification-->Options--> Equal Size normally presents such issues? Many thanks, a_bloch
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