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: | 0.3.0 | 
| Depends: | R (≥ 3.2.0) | 
| Imports: | utils, FNN, stats | 
| Suggests: | testthat (≥ 3.0.0) | 
| Published: | 2025-02-28 | 
| DOI: | 10.32614/CRAN.package.pmlbr | 
| 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.html , pmlbr.pdf | 
| Package source: | pmlbr_0.3.0.tar.gz | 
| Windows binaries: | r-devel: pmlbr_0.3.0.zip, r-release: pmlbr_0.3.0.zip, r-oldrel: pmlbr_0.3.0.zip | 
| macOS binaries: | r-release (arm64): pmlbr_0.3.0.tgz, r-oldrel (arm64): pmlbr_0.3.0.tgz, r-release (x86_64): pmlbr_0.3.0.tgz, r-oldrel (x86_64): pmlbr_0.3.0.tgz | 
| Old sources: | pmlbr archive | 
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