classifierplots: Generates a Visualization of Classifier Performance as a Grid of
Diagnostic Plots
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 |
| 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 |
Documentation:
Downloads:
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