Bioarchaeological sex prediction from central Italy using generalized low rank imputation for cross-validated metric craniodental supervised ensemble machine learning with missing data

Abstract excerpt

I use a novel supervised ensemble machine learning approach to verify sex estimation of archaeological skeletons from central Italian bioarchaeological contexts with large amounts of missing data present. Eighteen cranial interlandmark distances and five maxillary metric distances were recorded from n = 240 estimated males and n = 180 estimated females from four locations at Alfedena (600-400 BCE) and two locati...

Topics

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• Adolescent
• Archaeology
• Discriminant Analysis
• Forensic Anthropology
• Forensic Anthropology and Bioarchaeology Studies
• Phenotype
• Probability
• Skull

Identifiers and source

Literature Corpus work

108902ad-ce97-55b6-bb23-6f13cdac26a4

DOI

10.1101/2020.11.04.368894