Summary

(No information yet)

License

unknown (from Weka repository)

Dependencies

Tags

arff slurped Weka

Attribute Types

Integer,String

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# Instances: 101 / # Attributes: 18
HDF5 (86.0 KB) XML CSV ARFF LibSVM Matlab Octave

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Original Data Format

arff

Name

zoo

Version mldata

0

Comment

Changes to WEKA Format: SRG - November 1994 1. Boolean attributes changed from 1 and 0 to Enumerated attribute with values {true and false} 2. Class Number (Attribute 18) changed to an Enumerated type with values {1,2,3,4,5,6,7}

December 1997 - Changed class attribute values to semi-sensible names

1. Title: Zoo database

2. Source Information -- Creator: Richard Forsyth -- Donor: Richard S. Forsyth 8 Grosvenor Avenue Mapperley Park Nottingham NG3 5DX 0602-621676 -- Date: 5/15/1990

3. Past Usage: -- None known other than what is shown in Forsyth's PC/BEAGLE User's Guide.

4. Relevant Information: -- A simple database containing 17 Boolean-valued attributes. The "type" attribute appears to be the class attribute. Here is a breakdown of which animals are in which type: (I find it unusual that there are 2 instances of "frog" and one of "girl"!)

   Class# Set of animals: ====== =============================================================== 1 (41) 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 (20) chicken, crow, dove, duck, flamingo, gull, hawk, kiwi, lark, ostrich, parakeet, penguin, pheasant, rhea, skimmer, skua, sparrow, swan, vulture, wren 3 (5) pitviper, seasnake, slowworm, tortoise, tuatara 4 (13) bass, carp, catfish, chub, dogfish, haddock, herring, pike, piranha, seahorse, sole, stingray, tuna 5 (4) frog, frog, newt, toad 6 (8) flea, gnat, honeybee, housefly, ladybird, moth, termite, wasp 7 (10) clam, crab, crayfish, lobster, octopus, scorpion, seawasp, slug, starfish, worm

5. Number of Instances: 101

6. Number of Attributes: 18 (animal name, 15 Boolean attributes, 2 numerics)

7. Attribute Information: (name of attribute and type of value domain)

8. animal name: Unique for each instance

9. hair Boolean

10. feathers Boolean

11. eggs Boolean

12. milk Boolean

13. airborne Boolean

14. aquatic Boolean

15. predator Boolean

16. toothed Boolean

17. backbone Boolean

18. breathes Boolean

19. venomous Boolean

20. fins Boolean

21. legs Numeric (set of values: {0,2,4,5,6,8})

22. tail Boolean

23. domestic Boolean

24. catsize Boolean

25. type Numeric (integer values in range [1,7])

26. Missing Attribute Values: None

27. Class Distribution: Given above

Names

animal,hair,feathers,eggs,milk,airborne,aquatic,predator,toothed,backbone,

Types

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

Data (first 10 data points)

animal	hair	feat...	eggs	milk	airb...	aqua...	pred...	toot...	back...	...
aard...	true	false	false	true	false	false	true	true	true	...
ante...	true	false	false	true	false	false	false	true	true	...
bass	false	false	true	false	false	true	true	true	true	...
bear	true	false	false	true	false	false	true	true	true	...
boar	true	false	false	true	false	false	true	true	true	...
buff...	true	false	false	true	false	false	false	true	true	...
calf	true	false	false	true	false	false	false	true	true	...
carp	false	false	true	false	false	true	false	true	true	...
catf...	false	false	true	false	false	true	true	true	true	...
cavy	true	false	false	true	false	false	false	true	true	...
...	...	...	...	...	...	...	...	...	...	...

Description

A jarfile containing 37 classification problems, originally obtained from the UCI repository (datasets-UCI.jar, 1,190,961 Bytes).

URLs

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Publications

Data Source

http://www.ics.uci.edu/~mlearn/MLRepository.html

Measurement Details

Usage Scenario

revision 1

by mldata on 2010-11-06 09:57

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