Name: Zoo Animal Classification
Creator: Kaggle
License: http://opendatacommons.org/licenses/dbcl/1.0/

About this Dataset

Zoo Animal Classification

This dataset consists of 101 animals from a zoo.
There are 16 variables with various traits to describe the animals.
The 7 Class Types are: Mammal, Bird, Reptile, Fish, Amphibian, Bug and Invertebrate

The purpose for this dataset is to be able to predict the classification of the animals, based upon the variables.
It is the perfect dataset for those who are new to learning Machine Learning.

zoo.csv

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

animal_name: Unique for each instance
hair Boolean
feathers Boolean
eggs Boolean
milk Boolean
airborne Boolean
aquatic Boolean
predator Boolean
toothed Boolean
backbone Boolean
breathes Boolean
venomous Boolean
fins Boolean
legs Numeric (set of values: {0,2,4,5,6,8})
tail Boolean
domestic Boolean
catsize Boolean
class_type Numeric (integer values in range [1,7])

class.csv

This csv describes the dataset

Class_Number Numeric (integer values in range [1,7])
Number_Of_Animal_Species_In_Class Numeric
Class_Type character -- The actual word description of the class
Animal_Names character -- The list of the animals that fall in the category of the class

Acknowledgements

UCI Machine Learning: https://archive.ics.uci.edu/ml/datasets/Zoo

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

Inspiration

What are the best machine learning ensembles/methods for classifying these animals based upon the variables given?

Tables

Class

@kaggle.uciml_zoo_animal_classification.class

5.66 kB
7 rows
4 columns

CREATE TABLE class (
  "class_number" BIGINT,
  "number_of_animal_species_in_class" BIGINT,
  "class_type" VARCHAR,
  "animal_names" VARCHAR
);

Zoo

@kaggle.uciml_zoo_animal_classification.zoo

13.79 kB
101 rows
18 columns

CREATE TABLE zoo (
  "animal_name" VARCHAR,
  "hair" BIGINT,
  "feathers" BIGINT,
  "eggs" BIGINT,
  "milk" BIGINT,
  "airborne" BIGINT,
  "aquatic" BIGINT,
  "predator" BIGINT,
  "toothed" BIGINT,
  "backbone" BIGINT,
  "breathes" BIGINT,
  "venomous" BIGINT,
  "fins" BIGINT,
  "legs" BIGINT,
  "tail" BIGINT,
  "domestic" BIGINT,
  "catsize" BIGINT,
  "class_type" BIGINT
);