What is parameter importance in scikit-learn?
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What is parameter importance in scikit-learn?
Parameter importance refers to the technique used to determine the impact of each feature on the model's predictions.
How can I calculate parameter importance for my model?
You can use methods like feature importance from tree-based models or permutation importance for any model.
Can you give me an example of how to implement this in Python?
Sure! You can use the feature_importances_ attribute for models like RandomForest or use the permutation_importance function.
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