Explainability
Rule Extraction
Extracts interpretable rules from complex models (e.g., ANCHOR, RuleFit)
2 techniques in this subcategory
2 techniques
| Goals | Models | Data Types | Description | |||
|---|---|---|---|---|---|---|
| ANCHOR | Algorithmic | Architecture/model Agnostic Requirements/black Box | Tabular | ANCHOR explains one prediction of a black-box classifier with an if-then rule, called an anchor, such as 'age > 30 AND... | ||
| RuleFit | Algorithmic | Architecture/model Agnostic Paradigm/supervised +1 | Tabular | RuleFit builds a predictive model that a person can read: a short list of if-then rules plus a few ordinary feature... |
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