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how do you explain the output of breakDown #16
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Random forest said that the probability for this employee is 88% (= final prediction) |
Thanks for the rocket quick reply! thanks |
@pbiecek |
Presented scores are logits, |
Hi
I am following the example for Random Forests : https://pbiecek.github.io/breakDown/articles/break_randomForest.html
I am still not sure how to translate the output of breakDown.
in the example about random forests we get
what can be said about the final prediction? is it that for this employee there is 88% probability that she left and that is because of each feature contribution to the prediction.
thanks
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