The algorithm correctly associated a whoop bout with its hyena around 54 percent of the time.
"Hyenas don't treat every individual in the clan the same, so if they're deciding whether to show up and help someone, they want to know who they're showing up to help," said Kenna Lehmann, a postdoctoral researcher at the University.This discovery was made possible by a research trip to the Maasai Mara plains in southwest Kenya. The researchers searched for vocal traits using a method called a "random forest model.
The model predicted a particular whoop's identification depending on which hyena had the most votes from the 500 randomly assembled decision trees.Hyaenas in Kruger National park, South Africa.The scientists tested their trained model by asking it to determine which of 13 hyenas made a randomly chosen burst of whoops. They then repeated the test 999 times.
This success rate demonstrates that there is enough variation in the whoops of many hyenas and enough consistency within the whoops of a single hyena for the model to tell them apart reasonably.
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