cpmversion

The Classification and Regression Performance Metrics library

For classification/ranking: ROC AUC, BEDROC AUC, Enrichment Factor, Robust Initial Enhancement, Power Metric, Matthews' Correlation Coefficient.

For regression: Root Mean Squared Error, Mean Absolute Error, r^2 coefficient of determination, Raw Regression Error Characteristic Curve.

Also features a TopKeeper module; to keep in memory the top 'k' scored items when dealing with very large datasets.

AuthorFrancois BERENGER
LicenseLGPL-2.0-or-later
Published
Homepagehttps://github.com/UnixJunkie/cpmlib
Issue Trackerhttps://github.com/UnixJunkie/cpmlib/issues
Maintainerunixjunkie@sdf.org
Dependencies
Source [http] https://github.com/UnixJunkie/cpmlib/archive/v6.0.0.tar.gz
md5=dac9411c0f3f5d0f8f450a4468ef3385
StatisticsNot installed in the last month.
Edithttps://github.com/ocaml/opam-repository/tree/master/packages/cpm/cpm.6.0.0/opam
Required by