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MLeval  

Machine Learning Model Evaluation
View on CRAN: Click here


Download and install MLeval package within the R console
Install from CRAN:
install.packages("MLeval")

Install from Github:
library("remotes")
install_github("cran/MLeval")

Install by package version:
library("remotes")
install_version("MLeval", "0.3")



Attach the package and use:
library("MLeval")
Maintained by
Christopher R John
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-11-25
Latest Update: 2020-02-12
Description:
Straightforward and detailed evaluation of machine learning models. 'MLeval' can produce receiver operating characteristic (ROC) curves, precision-recall (PR) curves, calibration curves, and PR gain curves. 'MLeval' accepts a data frame of class probabilities and ground truth labels, or, it can automatically interpret the Caret train function results from repeated cross validation, then select the best model and analyse the results. 'MLeval' produces a range of evaluation metrics with confidence intervals.
How to cite:
Christopher R John (2019). MLeval: Machine Learning Model Evaluation. R package version 0.3, https://cran.r-project.org/web/packages/MLeval. Accessed 03 Sep. 2026.
Previous versions and publish date:
0.1 (2019-11-25 23:20), 0.2 (2019-11-30 02:20), (2026-07-09 08:09)
Other packages that cited MLeval R package
View MLeval citation profile
Other R packages that MLeval depends, imports, suggests or enhances
Complete documentation for MLeval
Functions, R codes and Examples using the MLeval R package
Some associated functions: LL . Sonar . brier_score . evalm . fit . fit1 . fit2 . fit3 . im_fit . preds . predsc . 
Some associated R codes: data.R . evalm.R .  Full MLeval package functions and examples
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