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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).
Package details |
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| Author | Ludvig Renbo Olsen [aut, cre] (<https://orcid.org/0009-0006-6798-7454>, @ludvigolsen), Hugh Benjamin Zachariae [aut], Indrajeet Patil [ctb] (<https://orcid.org/0000-0003-1995-6531>, @patilindrajeets), Daniel Lüdecke [ctb] (<https://orcid.org/0000-0002-8895-3206>) |
| Maintainer | Ludvig Renbo Olsen <r-pkgs@ludvigolsen.dk> |
| License | MIT + file LICENSE |
| Version | 1.6.0 |
| URL | https://github.com/ludvigolsen/cvms |
| Package repository | View on CRAN |
| Installation |
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