CRAN/E | UBL

UBL

An Implementation of Re-Sampling Approaches to Utility-Based Learning for Both Classification and Regression Tasks

Installation

About

Provides a set of functions that can be used to obtain better predictive performance on cost-sensitive and cost/benefits tasks (for both regression and classification). This includes re-sampling approaches that modify the original data set biasing it towards the user preferences.

Citation UBL citation info
github.com/paobranco/UBL
Bug report File report

Key Metrics

Version 0.0.9
R ≥ 3.0
Published 2023-10-07 204 days ago
Needs compilation? yes
License GPL-2
License GPL-3
CRAN checks UBL results

Downloads

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Maintainer

Maintainer

Paula Branco

paobranco@gmail.com

Authors

Paula Branco

aut / cre

Rita Ribeiro

aut / ctb

Luis Torgo

aut / ctb

Material

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

UBL archive

Depends

R ≥ 3.0
methods
grDevices
graphics
stats
MBA
gstat
automap
sp
randomForest

Suggests

MASS
rpart
testthat
DMwR2
ggplot2
e1071

Reverse Imports

MSclassifR
regfilter