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evabic  

Evaluation of Binary Classifiers
View on CRAN: Click here


Download and install evabic package within the R console
Install from CRAN:
install.packages("evabic")

Install from Github:
library("remotes")
install_github("cran/evabic")

Install by package version:
library("remotes")
install_version("evabic", "0.1.4")



Attach the package and use:
library("evabic")
Maintained by
Antoine Bichat
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-03-08
Latest Update: 2022-08-17
Description:
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.
How to cite:
Antoine Bichat (2020). evabic: Evaluation of Binary Classifiers. R package version 0.1.4, https://cran.r-project.org/web/packages/evabic. Accessed 08 Mar. 2026.
Previous versions and publish date:
0.0.1 (2020-03-08 18:00), 0.0.3 (2020-06-12 17:00), 0.1.1 (2022-08-17 09:40)
Other packages that cited evabic R package
View evabic citation profile
Other R packages that evabic depends, imports, suggests or enhances
Complete documentation for evabic
Functions, R codes and Examples using the evabic R package
Some associated functions: add_names . area_rect . ebc_AUC . ebc_TP . ebc_TPR . ebc_allmeasures . ebc_confusion . ebc_tidy . ebc_tidy_by_threshold . nl2c . rep_0 . 
Some associated R codes: area.R . confusion_measures.R . derived_measures.R . helpers.R . measures.R . threshold.R . tidy.R .  Full evabic package functions and examples
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