Metrics (0.1.3)

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.

Maintainer: Michael Frasco
Author(s): Ben Hamner [aut, cph], Michael Frasco [aut, cre], Erin LeDell [ctb]

License: BSD_3_clause + file LICENSE

Uses: testthat
Reverse suggests: featurefinder, s2net, tfdatasets

Released about 2 years ago.