This table analyzes how distribution shifts in each feature impact model performance.

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Feature Type Feature Importance Shift Magnitude Performance Impact Resilience Impact Shift Sensitivity
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Understanding Feature Impact Metrics

Feature Importance
The importance of the feature to the model's predictions, derived from the model's internal metrics or from permutation importance.
Shift Magnitude
How much the feature's distribution has changed between baseline and target datasets, measured using statistical distance metrics.
Performance Impact
The direct impact on model performance when this feature's distribution shifts, holding other features constant.
Resilience Impact
The overall contribution of this feature to resilience issues, combining importance, shift magnitude, and performance impact.
Shift Sensitivity
How sensitive the model's predictions are to shifts in this feature's distribution, normalized across features.
⚠️ Features highlighted in red have high resilience impact and should be prioritized for mitigation strategies.