iris0

Modification of <code><a rd-options="datasets" href="/link/iris?package=imbalance&version=0.1.1&to=datasets" data-mini-rdoc="datasets::iris">iris</a></code> dataset. Measurements in
centimeters of the variables sepal length and width and petal length and
width, respectively, for 50 flowers from each of 3 species of iris. The
possible classifications are positive (setosa) and negative (versicolor +
virginica).

datasets

Algorithms to treat imbalanced datasets. Imbalanced datasets usually damage
the performance of the classifiers. Thus, it is important to treat data before
applying a classifier algorithm. This package includes recent preprocessing algorithms
in the literature.

Ignacio Cord<c3><b3>n

imbalance

Preprocessing Algorithms for Imbalanced Datasets

iris0 function

A data frame with 150 instances, 50 of which belong to positive class,
and 5 variables:<dl class="dl-horizontal">
 <dt>SepalLength</dt><dd>Measurement of sepal length, in cm. Continuous attribute.</dd>
 <dt>SepalWidth</dt><dd>Measurement of sepal width, in cm. Continuous attribute.</dd>
 <dt>PetalLength</dt><dd>Measurement of petal length, in cm. Continuous attribute.</dd>
 <dt>PetalWidth</dt><dd>Measurement of petal width, in cm. Continuous attribute.</dd>
 <dt>Class</dt><dd>Two possible classes: positive (setosa) and negative (versicolor +
 virginica).</dd>
</dl>

Format

Modification of <code><a rd-options='datasets' href='iris'>iris</a></code> dataset. Measurements in
centimeters of the variables sepal length and width and petal length and
width, respectively, for 50 flowers from each of 3 species of iris. The
possible classifications are positive (setosa) and negative (versicolor +
virginica).

Imbalanced binary iris dataset — iris0

A data frame with 150 instances, 50 of which belong to positive class,
and 5 variables:<dl class='dl-horizontal'>
 <dt>SepalLength</dt><dd>Measurement of sepal length, in cm. Continuous attribute.</dd>
 <dt>SepalWidth</dt><dd>Measurement of sepal width, in cm. Continuous attribute.</dd>
 <dt>PetalLength</dt><dd>Measurement of petal length, in cm. Continuous attribute.</dd>
 <dt>PetalWidth</dt><dd>Measurement of petal width, in cm. Continuous attribute.</dd>
 <dt>Class</dt><dd>Two possible classes: positive (setosa) and negative (versicolor +
 virginica).</dd>
</dl>

iris0: Imbalanced binary iris dataset

Description

Usage

Arguments

Format