randomForestExplainer
Explaining and Visualizing Random Forests in Terms of Variable Importance
A set of tools to help explain which variables are most important in a random forests. Various variable importance measures are calculated and visualized in different settings in order to get an idea on how their importance changes depending on our criteria (Hemant Ishwaran and Udaya B. Kogalur and Eiran Z. Gorodeski and Andy J. Minn and Michael S. Lauer (2010), Leo Breiman (2001)).
- Version0.10.1
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Last release07/11/2020
Documentation
Team
Yue Jiang
Przemyslaw Biecek
Show author detailsRolesAuthor, Thesis advisorAleksandra Paluszynska
Show author detailsRolesAuthor
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- Imports10 packages
- Suggests3 packages
- Reverse Suggests1 package