Plots to assess the quality of predictive models from a business perspective.
Using these plots, it can be shown how implementation of the model will impact business
targets like response on a campaign or return on investment. Different scopes can be selected:
compare models, compare datasets or compare target class values and various plot customization
and highlighting options are available.
targets like response on a campaign. Different scopes can be selected: compare models, compare
datasets or compare target class values and various plot customization and highlighting options
are available.
| Version: |
1.1.0 |
| Depends: |
R (≥ 3.1.0) |
| Imports: |
ggplot2 (≥ 2.2.1), gridExtra (≥ 2.3.0), magrittr (≥ 1.5.0), dplyr (≥ 0.7.7), RColorBrewer (≥ 1.1.2), ggfittext (≥
0.6.0), scales (≥ 1.0.0), rlang (≥ 0.3.1) |
| Suggests: |
mlr (≥ 2.12.1), caret (≥ 6.0), randomForest (≥ 4.6.14), nnet (≥ 7.3-12), e1071, h2o, keras, knitr, rmarkdown, testthat, xgboost, stringr, kableExtra, lattice, ranger, glmnet |
| Published: |
2020-10-13 |
| Author: |
Jurriaan Nagelkerke [aut, cre],
Pieter Marcus [aut] |
| Maintainer: |
Jurriaan Nagelkerke <jurriaan.nagelkerke at gmail.com> |
| BugReports: |
https://github.com/jurrr/modelplotr/issues |
| License: |
GPL-3 |
| URL: |
https://github.com/jurrr/modelplotr |
| NeedsCompilation: |
no |
| Materials: |
README NEWS |
| CRAN checks: |
modelplotr results |