Iris data

A famous dataset from R.A. Fisher (1936) simplified to predict only the virginica class (i.e., as a binary classification problem).

Usage

iris.v

Format

A data frame containing 150 rows and 4 columns.

sep.len

sepal length in cm

sep.wid

sepal width in cm

pet.len

petal length in cm

pet.wid

petal width in cm

virginica

Criterion: Does an iris belong to the class "virginica"?

Values: TRUE vs. FALSE (33.33% vs.66.67%).

Source

https://archive.ics.uci.edu/ml/datasets/Iris

Details

To improve usability, we made the following changes:

• The criterion was binarized from a factor variable with three levels (Iris-setosa, Iris-versicolor, Iris-virginica), into a logical variable (i.e., TRUE for all instances of Iris-virginica and FALSE for the two other levels).

Other than that, the data remains consistent with the original dataset.

References

Fisher, R.A. (1936): The use of multiple measurements in taxonomic problems. Annual Eugenics, 7, Part II, pp. 179–188.

See also

Other datasets: blood, breastcancer, car, contraceptive, creditapproval, fertility, forestfires, heart.cost, heart.test, heart.train, heartdisease, mushrooms, sonar, titanic, voting, wine