Package: MLeval
Title: Machine Learning Model Evaluation
Version: 0.3
Author: Christopher R John
Maintainer: Christopher R John <chris.r.john86@gmail.com>
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.
License: AGPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Suggests: knitr, rmarkdown
Imports: ggplot2
VignetteBuilder: knitr
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2026-07-05 00:57:07 UTC; root
Repository: https://crj32.r-universe.dev
Date/Publication: 2020-02-12 06:02:54 UTC
RemoteUrl: https://github.com/crj32/mleval
RemoteRef: HEAD
RemoteSha: ca1184d5648b597bc2ee1e5c509e8ddbf7a99c58