VDA (version 1.01)

zoo: zoo data

Description

The zoo data is a set from the UCI Machine Learning Repository (http://archive.ics.uci.edu/ml/). This dataset contains 16 attributes, and 7 animal classes. The first column gives as descriptve name for each case. The next 16 columns each correspond to one feature. The last column is the classification information. The classification is a breakdown of which animals are in which of the 7 types.

Usage

data(zoo)

format

rl{ [,1] name: unique for each case [,2] hair: Boolean [,3] feathers: Boolean [,4] eggs: Boolean [,5] milk: Boolean [,6] airborne: Boolean [,7] aquatic: Boolean [,8] predator: Boolean [,9] toothed: Boolean [,10] backbone: Boolean [,11] breathes: Boolean [,12] venomous: Boolean [,13] fins: Boolean [,14] legs. Set of values: [0,2,4,5,6,8] [,15] tail: Boolean [,16] domestic: Boolean [,17] catsize: Boolean [,18] Class labels, integer values in range [1,7]. }

source

Forsyth, R. (1990). UCI Machine Learning Repository - Zoo Data Set [http://archive.ics.uci.edu/ml/datasets/zoo]. Irvine, CA: University of California, School of Information and Computer Science.

Details

There are 7 classes all together:

1. aardvark, antelope, bear, boar, buffalo, calf, cavy, cheetah, deer, dolphin, elephant, fruitbat, giraffe, girl, goat, gorilla, hamster, hare, leopard, lion, lynx, mink, mole, mongoose, opossum, oryx, platypus, polecat, pony, porpoise, puma, pussycat, raccoon, reindeer, seal, sealion, squirrel, vampire, vole, wallaby,wolf
2. chicken, crow, dove, duck, flamingo, gull, hawk, kiwi, lark, ostrich, parakeet, penguin, pheasant, rhea, skimmer, skua, sparrow, swan, vulture, wren
3. pitviper, seasnake, slowworm, tortoise, tuatara
4. bass, carp, catfish, chub, dogfish, haddock, herring, pike, piranha, seahorse, sole, stingray, tuna
5. frog1, frog2, newt, toad
6. flea, gnat, honeybee, housefly, ladybird, moth, termite, wasp
7. clam, crab, crayfish, lobster, octopus, scorpion, seawasp, slug, starfish, worm