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.

Getting started

Package details

AuthorAntoine Bichat [aut, cre] (<https://orcid.org/0000-0001-6599-7081>)
MaintainerAntoine Bichat <antoine.bichat@proton.me>
URL https://abichat.github.io/evabic/ https://github.com/abichat/evabic
Package repositoryView on CRAN
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evabic documentation built on Aug. 17, 2022, 9:06 a.m.