Decision Tree Produces All Same Predictions and Probabilities

scooter7
scooter7 New Altair Community Member
edited November 2024 in Community Q&A
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!
Tagged:

Answers

  • MartinLiebig
    MartinLiebig
    Altair Employee
    Hi,

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

    Best,
    Martin
  • scooter7
    scooter7 New Altair Community Member
    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!

Categories