A Novel Ensemble Machine Learning Approach for Bioarchaeological Sex Prediction

A Novel Ensemble Machine Learning Approach for Bioarchaeological Sex Prediction

I present a novel machine learning approach to predict sex in the bioarchaeological record. Eighteen cranial interlandmark distances and five maxillary dental metric distances were recorded from <i>n</i> = 420 human skeletons from the necropolises at Alfedena (600–400 BCE) and Campovalan...

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Bibliographic Details
Main Author: Evan Muzzall
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Technologies
Subjects:
SuperLearner ensemble machine learning
cross-validation
generalized low rank model
bioarchaeology
sex prediction
central Italy
Online Access:https://www.mdpi.com/2227-7080/9/2/23

Internet

https://www.mdpi.com/2227-7080/9/2/23

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