explainer-package: explainer: Machine Learning Model Explainer
In explainer: Machine Learning Model Explainer
explainer-package R Documentation
explainer: Machine Learning Model Explainer
Description
It enables detailed interpretation of complex classification and regression models through Shapley analysis including data-driven characterization of subgroups of individuals. Furthermore, it facilitates multi-measure model evaluation, model fairness, and decision curve analysis. Additionally, it offers enhanced visualizations with interactive elements.
Author(s)
Maintainer: Ramtin Zargari Marandi ramtin.zargari.marandi@regionh.dk (ORCID)
See Also
Useful links:
explainer documentation built on Oct. 1, 2024, 1:07 a.m.
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| explainer-package | R Documentation |
explainer: Machine Learning Model Explainer
Description
It enables detailed interpretation of complex classification and regression models through Shapley analysis including data-driven characterization of subgroups of individuals. Furthermore, it facilitates multi-measure model evaluation, model fairness, and decision curve analysis. Additionally, it offers enhanced visualizations with interactive elements.
Author(s)
Maintainer: Ramtin Zargari Marandi ramtin.zargari.marandi@regionh.dk (ORCID)
See Also
Useful links:
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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