applicable models
ensemble
Techniques for models that combine multiple base learners
1 techniques
Goals | Models | Data Types | Description | |||
---|---|---|---|---|---|---|
Multi-Accuracy Boosting | Algorithmic | Model Agnostic Ensemble | Any | An in-processing fairness technique that employs boosting algorithms to improve accuracy uniformly across demographic... |
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