Other packages > Find by keyword >

mlr3resampling  

Resampling Algorithms for 'mlr3' Framework
View on CRAN: Click here


Download and install mlr3resampling package within the R console
Install from CRAN:
install.packages("mlr3resampling")

Install from Github:
library("remotes")
install_github("cran/mlr3resampling")

Install by package version:
library("remotes")
install_version("mlr3resampling", "2025.11.19")



Attach the package and use:
library("mlr3resampling")
Maintained by
Toby Hocking
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-12-21
Latest Update: 2025-06-23
Description:
A supervised learning algorithm inputs a train set, and outputs a prediction function, which can be used on a test set. If each data point belongs to a group (such as geographic region, year, etc), then how do we know if it is possible to train on one group, and predict accurately on another group? Cross-validation can be used to determine the extent to which this is possible, by first assigning fold IDs from 1 to K to all data (possibly using stratification, usually by group and label). Then we loop over test sets (group/fold combinations), train sets (same group, other groups, all groups), and compute test/prediction accuracy for each combination. Comparing test/prediction accuracy between same and other, we can determine the extent to which it is possible (perfect if same/other have similar test accuracy for each group; other is usually somewhat less accurate than same; other can be just as bad as featureless baseline when the groups have different patterns). For more information, describes the method in depth. How many train samples are required to get accurate predictions on a test set? Cross-validation can be used to answer this question, with variable size train sets.
How to cite:
Toby Hocking (2023). mlr3resampling: Resampling Algorithms for 'mlr3' Framework. R package version 2025.11.19, https://cran.r-project.org/web/packages/mlr3resampling. Accessed 12 Jun. 2026.
Previous versions and publish date:
2023.12.20 (2023-12-21 17:40), 2024.1.8 (2024-01-09 05:30), 2024.1.23 (2024-02-01 06:20), 2024.4.14 (2024-04-16 17:50), 2024.7.3 (2024-07-06 00:10), 2024.7.7 (2024-07-12 17:50), 2024.9.6 (2024-09-11 22:40), 2025.3.30 (2025-04-09 09:30), 2025.6.23 (2025-06-23 12:20), 2025.11.19 (2025-11-20 20:10), 2026.2.24 (2026-02-26 17:50)
Other packages that cited mlr3resampling R package
View mlr3resampling citation profile
Other R packages that mlr3resampling depends, imports, suggests or enhances
Complete documentation for mlr3resampling
Functions, R codes and Examples using the mlr3resampling R package
Some associated functions: ResamplingSameOtherCV . ResamplingVariableSizeTrainCV . score . 
Some associated R codes: ResamplingBase.R . ResamplingSameOtherCV.R . ResamplingVariableSizeTrainCV.R . score.R .  Full mlr3resampling package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

piwikproR  
Access 'Piwik Pro' Website Statistics
Run Queries against the API of 'Piwik Pro' ...
Download / Learn more Package Citations See dependency  
bfp  
Bayesian Fractional Polynomials
Implements the Bayesian paradigm for fractional polynomial models under the assumption of normally ...
Download / Learn more Package Citations See dependency  
MEDITS  
Analysis of MEDITS-Like Survey Data
Set of functions working with survey data in the format of the MEDITS project ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
tablerDash  
'Tabler' API for 'Shiny'
'R' interface to the 'Tabler' HTML template. See more here < ...
Download / Learn more Package Citations See dependency  

27,372

R Packages

233,548

Dependencies

72,820

Author Associations

27,205

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA