ubIonosphere


The datasets is a modifcation of Ionosphere dataset cotained in "mlbench" package.
It contains only numerical input variables, i.e. the first two variables are removed.
The Class variable orginally taking values bad and good has been transformed into a factor where 1 denotes bad and 0 good.


datasets

A dataset is said to be unbalanced when the class of interest (minority class) is much rarer than normal behaviour (majority class). The cost of missing a minority class is typically much higher that missing a majority class. Most learning systems are not prepared to cope with unbalanced data and several techniques have been proposed. This package implements some of most well-known techniques and propose a racing algorithm to select adaptively the most appropriate strategy for a given unbalanced task.

Andrea Dal Pozzolo

unbalanced

Racing for Unbalanced Methods Selection

ubIonosphere function

A data frame with 351 observations on 33 independent variables (all numerical) and one last defining the class (1 or 0).

Format

<a href="http://cran.r-project.org/package=mlbench">http://cran.r-project.org/package=mlbench</a>

ubIonosphere: Ionosphere dataset

Description

Usage

Arguments

Format

Source

Examples