Weighted Metrics, Scoring Functions and Performance Measures for Machine Learning

Provides weighted versions of several metrics, scoring functions and performance measures used in machine learning, including average unit deviances of the Bernoulli, Tweedie, Poisson, and Gamma distributions, see Jorgensen B. (1997, ISBN: 978-0412997112). The package also contains a weighted version of generalized R-squared, see e.g. Cohen, J. et al. (2002, ISBN: 978-0805822236). Furthermore, 'dplyr' chains are supported.


Reference manual

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0.5.3 by Michael Mayer, 4 months ago


Report a bug at https://github.com/mayer79/MetricsWeighted/issues

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

Authors: Michael Mayer [aut, cre, cph] , Christian Lorentzen [ctb, rev]

Documentation:   PDF Manual  

GPL (>= 2) license

Imports stats, graphics

Suggests knitr, dplyr, rmarkdown, testthat

Imported by flashlight.

See at CRAN