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)
- Version0.10.1
- R version≥ 3.0
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Last release07/11/2020
Documentation
Team
Yue Jiang
Aleksandra Paluszynska
Show author detailsRolesAuthorPrzemyslaw Biecek
Show author detailsRolesAuthor, Thesis advisor
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- Depends1 package
- Imports10 packages
- Suggests3 packages
- Reverse Suggests1 package