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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CRAN Check Status
14
OK
Show all 14 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-macos-arm64 | 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
Reverse Dependencies (47)
depends
imports
ARGOS
CGMissingDataR
ConsReg
ExpressionCellNet
ImFoR
PUPAK
PUPMSI
PWEV
RSCAT
RSP
SAMprior
UEI
WaveletANN
WaveletETS
WaveletGBM
WaveletKNN
adsoRptionCMF
ai
coursekata
epicasting
gbm.auto
heimdall
hybridts
iml
janus
kssa
lilikoi
manymodelr
mlr3shiny
nda
pam
poolHelper
populR
predtoolsTS
previsionio
sense
sjSDM
valueprhr