Zoo
Donated on 5/14/1990
Artificial, 7 classes of animals
Dataset Characteristics
Multivariate
Subject Area
Biology
Associated Tasks
Classification
Feature Type
Categorical, Integer
# Instances
101
# Features
16
Dataset Information
Additional 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"!)
Has Missing Values?
No
Variables Table
| Variable Name | Role | Type | Description | Units | Missing Values |
|---|---|---|---|---|---|
| animal_name | ID | Categorical | no | ||
| hair | Feature | Binary | no | ||
| feathers | Feature | Binary | no | ||
| eggs | Feature | Binary | no | ||
| milk | Feature | Binary | no | ||
| airborne | Feature | Binary | no | ||
| aquatic | Feature | Binary | no | ||
| predator | Feature | Binary | no | ||
| toothed | Feature | Binary | no | ||
| backbone | Feature | Binary | no |
0 to 10 of 18
Additional Variable Information
1. animal name: Unique for each instance 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: Numeric (set of values: {0,2,4,5,6,8}) 15. tail: Boolean 16. domestic: Boolean 17. catsize: Boolean 18. type: Numeric (integer values in range [1,7])
Class Labels
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
Baseline Model Performance
Dataset Files
| File | Size |
|---|---|
| zoo.data | 4 KB |
| zoo.names | 2.5 KB |
| Index | 102 Bytes |
Papers Citing this Dataset
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By Gael Beck, Tarn Duong, Mustapha Lebbah, Hanane Azzag. 2019
Published in ArXiv.
By Songyang Zhang, Zhi Ding, Shuguang Cui. 2019
Published in
By Spyridon Mastorakis, Kevin Chan, Bongjun Ko, Alexander Afanasyev, Lixia Zhang. 2018
Published in ArXiv.
By Moses Charikar, Vaggos Chatziafratis, Rad Niazadeh, Grigory Yaroslavtsev. 2018
Published in ArXiv.
By Jos'e Balc'azar, Marie Piceno, Laura Rodr'iguez-Navas. 2018
Published in ArXiv.
0 to 5 of 29
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pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset zoo = fetch_ucirepo(id=111) # data (as pandas dataframes) X = zoo.data.features y = zoo.data.targets # metadata print(zoo.metadata) # variable information print(zoo.variables)
Forsyth, R. (1990). Zoo [Dataset]. UCI Machine Learning Repository. https://doi.org/10.24432/C5R59V.
Keywords
Creators
Richard Forsyth
DOI
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.