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Ekeany / Boruta-Shap

A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.
MIT License
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Boruta doesn't finish set runs (and ends with 0 important features) #80

Open ivandubar opened 2 years ago

ivandubar commented 2 years ago

Describe the bug

At times when I run Boruta with different data it doesn't finish set runs (100) and ends with 0 important features and 0 tentative features. It usually stops at the 16 run and no important features are found.

TentativeRoughFix() did not help, also increased the runs from 100 to 200, set Sample = True and False, changed random states, set Sample = True and False but still got the same result.

To Reproduce

Steps to reproduce the behavior: `Feature_Selector = BorutaShap(model=model, importance_measure='shap', classification=True)

Feature_Selector.fit(X=X, y=y, n_trials=200, sample=False, normalize=True, verbose=True, random_state=1)

Feature_Selector.TentativeRoughFix() `

Expected behavior

Boruta should at least finish its runs. In addition, at times it doesn't find any important nor tentative features. Sometimes it works using a very similar dataset with the same n features and observations.

wbzhang233 commented 2 years ago

Hey, did you solve this problem yet? I'm bothered by the same problem now, Boruta_Shap could not print any extra info and finished at all. Just like below

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