Machine Learning Model Evaluation

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.


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install.packages("MLeval")

0.2 by Christopher R John, 2 months ago


Browse source code at https://github.com/cran/MLeval


Authors: Christopher R John


Documentation:   PDF Manual  


AGPL-3 license


Imports ggplot2

Suggests knitr, rmarkdown


See at CRAN