Zoo-Dataset

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It is one of the most basic repository to understand the basics and apply machine learning algorithms on it.

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# Zoo-Dataset

# Description
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.

# About
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?

Zoo-Dataset

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