iris0: Imbalanced binary iris dataset

In ncordon/imbalance: Preprocessing Algorithms for Imbalanced Datasets

Description

Modification of iris 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).

Usage

iris0

Format

A data frame with 150 instances, 50 of which belong to positive class, and 5 variables:

SepalLength

Measurement of sepal length, in cm. Continuous attribute.

SepalWidth

Measurement of sepal width, in cm. Continuous attribute.

PetalLength

Measurement of petal length, in cm. Continuous attribute.

PetalWidth

Measurement of petal width, in cm. Continuous attribute.

Class

Two possible classes: positive (setosa) and negative (versicolor + virginica).

Source

KEEL Repository.

ncordon/imbalance documentation built on Dec. 25, 2019, 10:06 p.m.