Explainability
Feature Analysis
Analyzes the role and importance of features
4 techniques in this subcategory
4 techniques
| Goals | Models | Data Types | Description | |||
|---|---|---|---|---|---|---|
| SHapley Additive exPlanations | Algorithmic | Model Agnostic | Any | SHAP explains model predictions by quantifying how much each input feature contributes to the outcome. It assigns an... | ||
| Permutation Importance | Algorithmic | Model Agnostic | Any | Permutation Importance quantifies a feature's contribution to a model's performance by randomly shuffling its values and... | ||
| Generalized Additive Models | Algorithmic | GAM Linear Model | Tabular | An intrinsically interpretable modelling technique that extends linear models by allowing flexible, nonlinear... | ||
| Attention Visualisation in Transformers | Algorithmic | Transformer | Text Image | Attention Visualisation in Transformers analyses the multi-head self-attention mechanisms that enable transformers to... |
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