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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
Browse package contents
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 |
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