cvms
Cross-Validation for Model Selection
Cross-validate one or multiple regression and classification models and get relevant evaluation metrics in a tidy format. Validate the best model on a test set and compare it to a baseline evaluation. Alternatively, evaluate predictions from an external model. Currently supports regression and classification (binary and multiclass). Described in chp. 5 of Jeyaraman, B. P., Olsen, L. R., & Wambugu M. (2019, ISBN: 9781838550134).
- Version1.6.3
- R versionR (≥ 3.5)
- LicenseMIT
- Needs compilation?No
- Last release01/14/2025
Documentation
Team
Ludvig Renbo Olsen
MaintainerShow author detailsIndrajeet Patil
Daniel Lüdecke
Hugh Benjamin Zachariae
Show author detailsRolesAuthor
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Dependencies
- Imports18 packages
- Suggests14 packages
- Reverse Imports2 packages