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Generates a visualization of binary classifier performance as a grid of diagnostic plots with just one function call. Includes ROC curves, prediction density, accuracy, precision, recall and calibration plots, all using ggplot2 for easy modification. Debug your binary classifiers faster and easier!
| Version: | 1.4.0 |
| Depends: | R (≥ 3.1), ggplot2 (≥ 2.2), data.table (≥ 1.10) |
| Imports: | Rcpp (≥ 0.12), grid, ROCR, caret, gridExtra (≥ 2.2), stats, utils, png |
| Suggests: | testthat |
| Published: | 2020-10-13 |
| DOI: | 10.32614/CRAN.package.classifierplots |
| Author: | Aaron Defazio [aut, cre], Huw Campbell [aut] |
| Maintainer: | Aaron Defazio <aaron.defazio at gmail.com> |
| BugReports: | https://github.com/adefazio/classifierplots/issues |
| License: | BSD 3-clause License + file LICENSE |
| URL: | https://github.com/adefazio/classifierplots |
| NeedsCompilation: | no |
| CRAN checks: | classifierplots results |
| Reference manual: | classifierplots.pdf |
| Package source: | classifierplots_1.4.0.tar.gz |
| Windows binaries: | r-devel: classifierplots_1.4.0.zip, r-release: classifierplots_1.4.0.zip, r-oldrel: classifierplots_1.4.0.zip |
| macOS binaries: | r-release (arm64): classifierplots_1.4.0.tgz, r-oldrel (arm64): classifierplots_1.4.0.tgz, r-release (x86_64): classifierplots_1.4.0.tgz, r-oldrel (x86_64): classifierplots_1.4.0.tgz |
| Old sources: | classifierplots archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.