Calculation of feature relative importance from XG Boost Regression Tree

Hi,

Is there any way to calculate the feature relative importance from the XG Boost Learner (Regression) in knime?

Thanks.

Hi @Astha,

we currently only have a component to calculate the feature importance for classifications (not for regressions): Global Feature Importance Component
You can find an example workflow how to use the component here: Compute and Visualize Global Feature Importance Metrics
You could try to adapt it to regression yourself or you could wait a little bit as we are also planning to create such a component for regression soon.

Kind regards,
Janina

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