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terimler
terimler
Permutation Feature Importance
Global evaluation method that measures the impact of each feature by randomly permuting its values and observing the degradation of model performance. This agnostic approach captures the real influence of variables without depending on the internal structure of the model.
terimler
Break Down plots
Local explanation method that decomposes the prediction into additive contributions of features, starting from a reference value to the final prediction. It provides a sequential and interpretable view of the impact of each variable.
terimler
Feature Contribution Analysis
Set of systematic techniques to quantitatively evaluate how each feature contributes to individual and global model predictions. It combines multiple attribution methods for a robust understanding of variable influence.
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