Machine learning for extra-terrestrial life explorers

Swift is undoubtedly the programming language of the future. In the nearest years, we're expecting to see Swift being employed to program-intelligent scout robots that will explore alien planets and life forms on them. These robots should be able to recognize and classify aliens they will encounter. Let's build a model to distinguish between two alien species using their characteristic features.

The biosphere of the distant planet consists mainly of two species: night predators rabbosauruses, and peaceful, herbivorous platyhogs (see the following diagram). Roboscouts are equipped with sensors to measure only three features of each individual: length (in meters), color, and fluffiness.