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 <a.bichat@yahoo.fr>
LicenseGPL-3
Version0.0.3
URL https://abichat.github.io/evabic https://github.com/abichat/evabic
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("evabic")

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evabic documentation built on July 1, 2020, 5:43 p.m.