Metrics: Evaluation Metrics for Machine Learning

Metrics is a set of evaluation metrics that is commonly used in supervised machine learning.

Version: 0.1.2
Suggests: RUnit
Published: 2017-04-21
Author: Ben Hamner
Maintainer: ORPHANED
License: BSD
URL: https://github.com/benhamner/Metrics/tree/master/R
NeedsCompilation: no
Materials: NEWS
CRAN checks: Metrics results

Downloads:

Reference manual: Metrics.pdf
Package source: Metrics_0.1.2.tar.gz
Windows binaries: r-devel: Metrics_0.1.2.zip, r-release: Metrics_0.1.2.zip, r-oldrel: Metrics_0.1.2.zip
OS X El Capitan binaries: r-release: Metrics_0.1.2.tgz
OS X Mavericks binaries: r-oldrel: Metrics_0.1.2.tgz
Old sources: Metrics archive

Reverse dependencies:

Reverse imports: dblr, predtoolsTS, specmine

Linking:

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