Database: Open Database, Contents: Database Contentshttp://opendatacommons.org/licenses/dbcl/1.0/
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.
Attribute Information: (name of attribute and type of value domain)
This csv describes the dataset
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
What are the best machine learning ensembles/methods for classifying these animals based upon the variables given?