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: | 1.3.3 |
| 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: | 2017-04-06 |
| Author: | Aaron Defazio [aut], Huw Campbell [cre] |
| Maintainer: | Huw Campbell <huw.campbell at ambiata.com> |
| BugReports: | https://github.com/ambiata/classifierplots/issues |
| License: | BSD 3-clause License + file LICENSE |
| URL: | https://github.com/ambiata/classifierplots |
| NeedsCompilation: | no |
| CRAN checks: | classifierplots results |
| Reference manual: | classifierplots.pdf |
| Package source: | classifierplots_1.3.3.tar.gz |
| Windows binaries: | r-devel: classifierplots_1.3.3.zip, r-release: classifierplots_1.3.3.zip, r-oldrel: classifierplots_1.3.3.zip |
| macOS binaries: | r-release: classifierplots_1.3.3.tgz, r-oldrel: classifierplots_1.3.3.tgz |
| Old sources: | classifierplots archive |
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