Package: evabic 0.1.4

Antoine Bichat

evabic: Evaluation of Binary Classifiers

Evaluates the performance of binary classifiers. Computes confusion measures (TP, TN, FP, FN), derived measures (TPR, FDR, accuracy, F1, DOR, ..), and area under the curve. Outputs are well suited for nested dataframes.

Authors:Antoine Bichat [aut, cre]

evabic_0.1.4.tar.gz
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evabic_0.1.4.tgz(r-4.6-any)evabic_0.1.4.tgz(r-4.5-any)
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evabic_0.1.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
evabic/json (API)

# Install 'evabic' in R:
install.packages('evabic', repos = c('https://abichat.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/abichat/evabic/issues

Pkgdown/docs site:https://abichat.github.io

On CRAN:

Conda:

classifiermeasurespredictorsroc-curvestatistics

4.10 score 6 stars 14 scripts 153 downloads 25 exports 0 dependencies

Last updated from:f91e2a18f0. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK93
source / vignettesOK139
linux-release-x86_64OK104
macos-release-arm64OK165
macos-oldrel-arm64OK166
windows-develOK57
windows-releaseOK73
windows-oldrelOK60
wasm-releaseOK82

Exports:add_namesebc_ACCebc_allmeasuresebc_AUCebc_AUC_from_measuresebc_BACCebc_confusionebc_DORebc_F1ebc_FDRebc_FNebc_FNRebc_FORebc_FPebc_FPRebc_NLRebc_NPVebc_PLRebc_PPVebc_tidyebc_tidy_by_thresholdebc_TNebc_TNRebc_TPebc_TPR

Dependencies:

Readme and manuals

Help Manual

Help pageTopics
Add names to a vectoradd_names
Available measuresebc_allmeasures
Area under the curveebc_AUC ebc_AUC_from_measures
Confusion matrixebc_confusion
Tidy output for measuresebc_tidy
Measures by thresholdebc_tidy_by_threshold
Confusion measures.ebc_FN ebc_FP ebc_TN ebc_TP
Derived measures.ebc_ACC ebc_BACC ebc_DOR ebc_F1 ebc_FDR ebc_FNR ebc_FOR ebc_FPR ebc_NLR ebc_NPV ebc_PLR ebc_PPV ebc_TNR ebc_TPR