Evaluation Metrics for Machine Learning

An implementation of evaluation metrics in R that are commonly used in supervised machine learning. It implements metrics for regression, time series, binary classification, classification, and information retrieval problems. It has zero dependencies and a consistent, simple interface for all functions.


News

  • initial release
  • 16 evaluation metrics implemented with test cases

Reference manual

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install.packages("Metrics")

0.1.3 by Michael Frasco, 21 days ago


https://github.com/mfrasco/Metrics


Report a bug at https://github.com/mfrasco/Metrics/issues


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


Authors: Ben Hamner [aut, cph], Michael Frasco [aut, cre], Erin LeDell [ctb]


Documentation:   PDF Manual  


BSD_3_clause + file LICENSE license


Suggests testthat


Imported by dblr, predtoolsTS, specmine.


See at CRAN