Data from: Machine learning identifies ecological selectivity patterns across the end-Permian mass extinction

William Foster, Georgy Ayzel, Jannes Münchmeyer, Tabea Rettelbach, Niklas Kitzmann, Terry Isson, Maria Mutti & Martin Aberhan
The end-Permian mass extinction occurred alongside a large swathe of environmental changes that are often invoked as extinction mechanisms, even when a direct link is lacking. One way to elucidate the cause(s) of a mass extinction is to investigate extinction selectivity as it can reveal critical information on organismic traits as key determinants of extinction and survival. Here we show that machine learning algorithms, specifically gradient boosted decision trees, can be used to identify determinants...
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