CRAN/E | themis

themis

Extra Recipes Steps for Dealing with Unbalanced Data

Installation

About

A dataset with an uneven number of cases in each class is said to be unbalanced. Many models produce a subpar performance on unbalanced datasets. A dataset can be balanced by increasing the number of minority cases using SMOTE 2011 , BorderlineSMOTE 2005 doi:10.1007/11538059_91 and ADASYN 2008 . Or by decreasing the number of majority cases using NearMiss 2003 or Tomek link removal 1976 .

github.com/tidymodels/themis
themis.tidymodels.org
Bug report File report

Key Metrics

Version 1.0.2
R ≥ 3.6
Published 2023-08-14 258 days ago
Needs compilation? no
License MIT
License File
CRAN checks themis results

Downloads

Yesterday 235 0%
Last 7 days 1.318 -7%
Last 30 days 5.335 -11%
Last 90 days 16.365 -8%
Last 365 days 76.039 -41%

Maintainer

Maintainer

Emil Hvitfeldt

emil.hvitfeldt@posit.co

Authors

Emil Hvitfeldt

aut / cre

Posit Software
PBC

cph / fnd

Material

README
NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

themis archive

Depends

R ≥ 3.6
recipes ≥ 1.0.4

Imports

gower
lifecycle ≥ 1.0.3
dplyr
generics ≥ 0.1.0
purrr
RANN
rlang
ROSE
tibble
withr
glue
hardhat
vctrs

Suggests

covr
dials ≥ 1.2.0
ggplot2
modeldata
testthat ≥3.0.0

Reverse Imports

pheble

Reverse Suggests

caret