Shed Light on Black Box Machine Learning Models

Shed light on black box machine learning models by the help of model performance, permutation variable importance (Fisher et al. (2018) ), ICE profiles, partial dependence (Friedman J. H. (2001) ), and further effects plots. All tools are implemented to work with case weights and allow for stratified analysis. Furthermore, multiple flashlights can be combined and analyzed together.


Reference manual

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0.1.0 by Michael Mayer, 23 days ago

Browse source code at

Authors: Michael Mayer [aut, cre, cph]

Documentation:   PDF Manual  

GPL (>= 2) license

Imports stats, utils, dplyr, tidyr, rlang, ggplot2, ggpubr, MetricsWeighted

Suggests knitr, lubridate, ranger, xgboost, caret, moderndive

See at CRAN