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Decision Tree Produces All Same Predictions and Probabilities

Hi,

I have created a decision tree model that is highly accurate at predicting a nominal binary (yes/no) outcome for both the yeses and nos.

When I write the model and then read it into a new scoring process, every prediction is exactly the same in terms of predicted outcome and probabilities of yes or no. I have experienced the same issue with these data when using various types of tree algorithms. Using naive bayes and some other models does not produce the same problem.

Could I send you the xml as well as the training and scoring files to see if you can help me figure out what is going on?

Thanks!

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MartinLiebig

Hi,

have you checked if your tree is a real tree and not just a stump?

Best,
Martin

scooter7

Hi,

I have checked and confirmed that it is a real tree. However, I believe that I solved the problem, which turned out to be a data-related issue and unrelated to the software.

Thanks for your help!