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Biased Random Forest Feature Importance

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Biased Random Forest Feature Importance

In the following article, it is stated that the Feature Importance of Random Forests can be biased towards continuous variables. If I understand correctly DataIKU uses the standard scikit-learn FI, also when other models are used as explained here:

What is your opinion on this article and if you agree that the FI is biased, do you have a solution within DataIKU?

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