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mlr3data  

Collection of Machine Learning Data Sets for 'mlr3'
View on CRAN: Click here


Download and install mlr3data package within the R console
Install from CRAN:
install.packages("mlr3data")

Install from Github:
library("remotes")
install_github("cran/mlr3data")

Install by package version:
library("remotes")
install_version("mlr3data", "0.9.0")



Attach the package and use:
library("mlr3data")
Maintained by
Marc Becker
[Scholar Profile | Author Map]
First Published: 2020-02-10
Latest Update: 2023-06-29
Description:
A small collection of interesting and educational machine learning data sets which are used as examples in the 'mlr3' book (), the use case gallery (), or in other examples. All data sets are properly preprocessed and ready to be analyzed by most machine learning algorithms. Data sets are automatically added to the dictionary of tasks if 'mlr3' is loaded.
How to cite:
Marc Becker (2020). mlr3data: Collection of Machine Learning Data Sets for 'mlr3'. R package version 0.9.0, https://cran.r-project.org/web/packages/mlr3data. Accessed 14 Mar. 2025.
Previous versions and publish date:
0.1.0 (2020-02-10 17:00), 0.2.0 (2020-08-03 18:30), 0.2.1 (2020-10-05 12:00), 0.3.0 (2020-12-04 10:10), 0.3.1 (2021-03-19 13:40), 0.4.0 (2021-06-08 11:40), 0.5.0 (2021-06-29 22:10), 0.6.0 (2022-03-18 11:30), 0.6.1 (2022-08-15 09:30), 0.7.0 (2023-06-29 17:30), 0.8.0 (2024-11-06 15:10)
Other packages that cited mlr3data R package
View mlr3data citation profile
Other R packages that mlr3data depends, imports, suggests or enhances
Complete documentation for mlr3data
Functions, R codes and Examples using the mlr3data R package
Some associated functions: ames_housing . bike_sharing . energy_usage . ilpd . kc_housing . mlr3data-package . moneyball . optdigits . penguins_simple . titanic . 
Some associated R codes: ames_housing.R . bibentries.R . bike_sharing.R . energy_usage.R . helper.R . ilpd.R . kc_housing.R . moneyball.R . optdigits.R . penguins_simple.R . titanic.R . zzz.R .  Full mlr3data package functions and examples
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