Zoo: Zoo Data

In mlbench: Machine Learning Benchmark Problems

Zoo Data

Description

A simple dataset containing 17 (mostly logical) variables on 101 animals.

Usage

data("Zoo", package = "mlbench")

Format

A data frame with 17 columns: hair, feathers, eggs, milk, airborne, aquatic, predator, toothed, backbone, breathes, venomous, fins, legs, tail, domestic, catsize, type.

Most variables are logical and indicate whether the corresponding animal has the corresponsing characteristic or not. The only 2 exceptions are: legs takes values 0, 2, 4, 5, 6, and 8. type is a grouping of the animals into 7 groups, see the example section for the detailed list.

Details

Ask the original donor of the data why girl is an animal.

Source

The original data have been donated by Richard S. Forsyth to the UCI Repository of Machine Learning Databases (Blake & Merz 1998) and were converted to R format by Friedrich Leisch and Evgenia Dimitriadou in the late 1990s.

The current version of the UC Irvine Machine Learning Repository Zoo data set is available from \Sexpr[results=rd]{tools:::Rd_expr_doi("10.24432/C5R59V")}.

References

Blake, C.L. & Merz, C.J. (1998). UCI Repository of Machine Learning Databases. Irvine, CA: University of California, Irvine, Department of Information and Computer Science. Formerly available from ‘⁠http://www.ics.uci.edu/~mlearn/MLRepository.html⁠’.

Examples

data("Zoo", package = "mlbench")
summary(Zoo)

## see the annimals grouped by type
split(rownames(Zoo), Zoo$type)

## which animals have fins?
rownames(Zoo)[Zoo$fins]

mlbench documentation built on April 4, 2025, 12:21 a.m.