fmf (version 1.1.1)

iris: Iris Data Set

Description

This is perhaps the best known database to be found in the pattern recognition literature. Fisher's paper is a classic in the field and is referenced frequently to this day. (See Duda & Hart, for example.) The data set contains 3 classes of 50 instances each, where each class refers to a type of iris plant. One class is linearly separable from the other 2; the latter are NOT linearly separable from each other.

Usage

data(iris)

Format

A data frame with 150 Instances and 4 attributes (including the class attribute, "Species") In this package, the iris dataset has been normalized by the max-min normalization.

Details

Fisher,R.A. "The use of multiple measurements in taxonomic problems" Annual Eugenics, 7, Part II, 179-188 (1936); also in "Contributions to Mathematical Statistics" (John Wiley, NY, 1950).

Predicted attribute: class of iris plant.

This is an exceedingly simple domain.

This data differs from the data presented in Fishers article (identified by Steve Chadwick, spchadwick '@' espeedaz.net ). The 35th sample should be: 4.9,3.1,1.5,0.2,"setosa" where the error is in the fourth feature. The 38th sample: 4.9,3.6,1.4,0.1,"setosa" where the errors are in the second and third features.

References

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

Examples

# NOT RUN {
data(iris)

X = iris[, -1]

y = iris[, 1]
# }