LudvigOlsen/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).

Getting started

Package details

Maintainer
LicenseMIT + file LICENSE
Version1.6.1.9000
URL https://github.com/ludvigolsen/cvms
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("LudvigOlsen/cvms")
LudvigOlsen/cvms documentation built on March 2, 2024, 1:54 p.m.