Feature Effects¶
Tab | Description |
---|---|
Explanation | Shows the effect of changes in the value of each feature on model predictions. |
Feature Effects answers the question—how does a model "understand" the relationship between each feature and the target? It is an on-demand feature, dependent on the Feature Impact calculation, which is prompted for when first opening the visualization. The insight is communicated in terms of partial dependence, an illustration of how changing a feature's value, while keeping all other features as they were, impacts a model's predictions.
Updated January 8, 2025
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