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Check available classification and regression data sets from the PMLB repository and download them. The PMLB repository (<https://github.com/EpistasisLab/pmlbr>) contains a curated collection of data sets for evaluating and comparing machine learning algorithms. These data sets cover a range of applications, and include binary/multi-class classification problems and regression problems, as well as combinations of categorical, ordinal, and continuous features. There are currently over 150 datasets included in the PMLB repository.
| Version: | 0.2.1 |
| Depends: | R (≥ 3.2.0) |
| Imports: | utils, FNN, stats |
| Published: | 2023-09-28 |
| Author: | Trang Le [aut, cre] (https://trang.page/), makeyourownmaker [aut] (https://github.com/makeyourownmaker), Jason Moore [aut] (http://www.epistasisblog.org/), University of Pennsylvania [cph] |
| Maintainer: | Trang Le <grixor at gmail.com> |
| BugReports: | https://github.com/EpistasisLab/pmlbr/issues |
| License: | GPL-2 | file LICENSE |
| URL: | https://github.com/EpistasisLab/pmlbr |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | pmlbr results |
| Reference manual: | pmlbr.pdf |
| Package source: | pmlbr_0.2.1.tar.gz |
| Windows binaries: | r-devel: pmlbr_0.2.1.zip, r-release: pmlbr_0.2.1.zip, r-oldrel: pmlbr_0.2.1.zip |
| macOS binaries: | r-release (arm64): pmlbr_0.2.1.tgz, r-oldrel (arm64): pmlbr_0.2.1.tgz, r-release (x86_64): pmlbr_0.2.1.tgz, r-oldrel (x86_64): pmlbr_0.2.1.tgz |
| Old sources: | pmlbr archive |
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These binaries (installable software) and packages are in development.
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