Zoo Animals Extended Dataset

Context

The Zoo Animal Classification Dataset originally consists of 101 animals in a zoo and 16 variables with several features that describe them (the attributes), besides the class to which each animal belongs (the target).

That original dataset is often used in Machine Learning, as it is a complete and yet simple example to practice classification problems with multi-label classes. However, as it provides only a hundred rows, some ML algorithms might not perform well. That is exactly where this extended dataset fits in.

Content

As an addition to the original Zoo Animal Classification Dataset, this given dataset provides:

• 43 animals from several classes except Mammals and Birds (as these latter classes are very frequent in the original dataset);
• 70 animals from species maintained by São Paulo Zoo, being primarily animals of the Brazilian fauna in danger of extinction.