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Implementation of different performance measures for classification and ranking tasks including Area Under the Receiving Characteristic Curve (AUROC) and Area Under the Precision Recall Curve (AUPRC), precision at a given recall, F-score for single and multiple classes.
| Version: | 1.2.5 |
| Depends: | limma, graph, RBGL |
| Published: | 2022-09-14 |
| Author: | Giorgio Valentini [aut, cre] |
| Maintainer: | Giorgio Valentini <valentini at di.unimi.it> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| CRAN checks: | PerfMeas results |
| Reference manual: | PerfMeas.pdf |
| Package source: | PerfMeas_1.2.5.tar.gz |
| Windows binaries: | r-devel: PerfMeas_1.2.5.zip, r-release: PerfMeas_1.2.5.zip, r-oldrel: PerfMeas_1.2.5.zip |
| macOS binaries: | r-release (arm64): PerfMeas_1.2.5.tgz, r-oldrel (arm64): PerfMeas_1.2.5.tgz, r-release (x86_64): PerfMeas_1.2.5.tgz, r-oldrel (x86_64): PerfMeas_1.2.5.tgz |
| Old sources: | PerfMeas archive |
| Reverse imports: | RANKS |
| Reverse suggests: | COSNet |
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