Hello, I would like to ask how to use the final 'feature_importance' value inside the 'federatedscope.vertical_fl.tree_based_models.trainer.feature_order_protected_trainer.py' file?
xwzhang12 opened this issue · comments
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Hello, sorry for the late response.
The values in feature_importance evaluate the relative importance of each feature in the model's predictions. By analyzing feature importance, clients can identify which features contribute the most to the model's predictive ability. This information can be used for feature selection or dimensionality reduction to simplify the model and improve performance.