Metrics
Evaluation Metrics for Machine Learning
v0.1.4
·
Jul 8, 2018
·
BSD_3_clause + file LICENSE
Description
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.
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OK
Show all 13 flavors
| Flavor | Status |
|---|---|
| r-devel-linux-x86_64-debian-clang | OK |
| r-devel-linux-x86_64-debian-gcc | OK |
| r-devel-linux-x86_64-fedora-clang | OK |
| r-devel-linux-x86_64-fedora-gcc | OK |
| r-devel-windows-x86_64 | OK |
| r-oldrel-macos-arm64 | OK |
| r-oldrel-macos-x86_64 | OK |
| r-oldrel-windows-x86_64 | OK |
| r-patched-linux-x86_64 | OK |
| r-release-linux-x86_64 | OK |
| r-release-macos-arm64 | OK |
| r-release-macos-x86_64 | OK |
| r-release-windows-x86_64 | OK |
Check History
OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026
Code
Code metrics have not been computed for this package yet.
Reverse Dependencies (46)
depends
imports
ARGOS ConsReg ExpressionCellNet ImFoR PUPAK PUPMSI PWEV RSCAT RSP SAMprior UEI WaveletANN WaveletETS WaveletGBM WaveletKNN adsoRptionCMF ai epicasting gbm.auto heimdall hybridts iml janus kssa lilikoi mGSFPCA manymodelr mlr3shiny nda pam poolHelper populR predtoolsTS previsionio sense sjSDM valueprhr