I created a simple model to predict a true/false variable and trained it with about 5000 records. The probabilities in the "proba_0" and "proba_1" columns on the Predicted Data tab have a normal, expected distribution. However, when I export the model to an iPython notebook and manually run the code, the probabilities have a rather extreme distribution with most of the values for "proba_0" being close to 0.99.
My question is: is the python code created in the iPython notebook the code that is actually used to create the model in DSS or is it simply a rough translation of that code? Why would I be seeing such different numbers here?