Hi all,
I have built a decision tree in python using the sklearn library. How do I
evaluate if it is overfitting or underfitting?
I also need to do some feature engineering in terms of determining which
features are contributing most to my model. I am thinking about using the
shap values but if I print them, I get numbers which I am not sure how to
interpret.
Pranav
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