cpm

The Classification and Regression Performance Metrics library
Description

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

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.

Install
Documentation github.com Edit opam file
Published
25 Aug 2022
Authors
Maintainers
Sources
v12.1.1.tar.gz
md5=cb0242aad4936b4b6dcca6a921ae209f
Dependencies
ocaml
batteries >= "2.6"
dune >= "2.8"
Reverse Dependencies
lbvs_consent >= "1.1.3"
linwrap
molenc >= "7.0.1"
odnnr
omlr
oplsr
oranger
orf
orrandomForest >= "2.0.1"
orsvm_e1071
orxgboost
rankers
svmwrap