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).
- Version1.6.2
- R version≥ 3.5
- LicenseMIT
- LicenseLICENSE
- Needs compilation?No
- Last release07/31/2024
Documentation
Team
Ludvig Renbo Olsen
Daniel Lüdecke
Indrajeet Patil
Hugh Benjamin Zachariae
Show author detailsRolesAuthor
Insights
Last 30 days
Last 365 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports17 packages
- Suggests14 packages
- Reverse Imports2 packages