Metrics (0.1.4)

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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 depends: PUPAIM
Reverse suggests: featurefinder, s2net, tfdatasets

Released over 1 year ago.

3 previous versions



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