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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.
Package details |
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Author | Antoine Bichat [aut, cre] (<https://orcid.org/0000-0001-6599-7081>) |
Maintainer | Antoine Bichat <antoine.bichat@proton.me> |
License | GPL-3 |
Version | 0.1.1 |
URL | https://abichat.github.io/evabic/ https://github.com/abichat/evabic |
Package repository | View on CRAN |
Installation |
Install the latest version of this package by entering the following in R:
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