MultiClassROC
ROC Curves for Multi-Class Analysis
Function multiroc() can be used for computing and visualizing Receiver Operating Characteristics (ROC) and Area Under the Curve (AUC) for multi-class classification problems. It supports both One-vs-One approach by M.Bishop, C. (2006, ISBN:978-0-387-31073-2) and One-vs-All approach by Murphy P., K. (2012, ISBN:9780262018029).
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | MultiClassROC_0.1.0.tar.gz |
13.7 KiB |
0.1.0 |
rolling linux/noble R-4.5 | MultiClassROC_0.1.0.tar.gz |
13.6 KiB |
0.1.0 |
rolling source/ R- | MultiClassROC_0.1.0.tar.gz |
2.4 KiB |
0.1.0 |
latest linux/jammy R-4.5 | MultiClassROC_0.1.0.tar.gz |
13.7 KiB |
0.1.0 |
latest linux/noble R-4.5 | MultiClassROC_0.1.0.tar.gz |
13.6 KiB |
0.1.0 |
latest source/ R- | MultiClassROC_0.1.0.tar.gz |
2.4 KiB |
0.1.0 |
2026-04-26 source/ R- | MultiClassROC_0.1.0.tar.gz |
2.4 KiB |
0.1.0 |
2026-04-23 source/ R- | MultiClassROC_0.1.0.tar.gz |
2.4 KiB |
0.1.0 |
2026-04-09 windows/windows R-4.5 | MultiClassROC_0.1.0.zip |
16.7 KiB |
0.1.0 |
2025-04-20 source/ R- | MultiClassROC_0.1.0.tar.gz |
2.4 KiB |