modelExplainability
Summary
Describes methods that can be used to explain the results from the AI model.
Description
A free-form text that lists the different explainability mechanisms and how they can be used to explain the results from the AI model.
The mechanisms can be model-agnostic methods, such as SHapley Additive exPlanations (SHAP) and Local Interpretable Model-agnostic Explanations (LIME), and model-specific methods that applied to a limited category of models.
Metadata
https://spdx.org/rdf/3.0.1/terms/AI/modelExplainability
| Name | modelExplainability |
| Nature | DataProperty |
| Range | xsd:string |