Replication Data for: Distinguishing Discoid and Centripetal Levallois methods through machine learning

  1. González-Molina, Irene 1
  2. Jiménez-García, Blanca 2
  3. Maíllo-Fernández, José-Manuel 3
  4. Baquedano, Enrique 4
  5. Domínguez-Rodrigo, Manuel 1
  1. 1 (IDEA, Institute of Evolution in Africa, Universidad de Alcalá de Henares, Madrid, Spain)
  2. 2 (IDEA, Institute of Evolution in Africa, Universidad de Alcalá de Henares, Madrid, Spain, Artificial Intelligence Department, Universidad Nacional de Educación a Distancia, UNED, Madrid, Spain)
  3. 3 (IDEA, Institute of Evolution in Africa, Universidad de Alcalá de Henares, Madrid, Spain, Department of Prehistory and Archaeology, Universidad Nacional de Educación a Distancia, UNED, Madrid, Spain)
  4. 4 (IDEA, Institute of Evolution in Africa, Universidad de Alcalá de Henares, Madrid, Spain, Museo Arqueológico Regional, Alcalá de Henares, Madrid, Spain)
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Editor: Harvard Dataverse

Year of publication: 2020

Type: Dataset

DOI: 10.7910/DVN/T8SEC2 lock_openOpen access editor

Abstract

Database and R code used in the Research Article "Distinguishing Discoid and Centripetal Levallois methods through machine learning". We applied Machine Learning (ML) algorithms to study the differences between Discoid and Centripetal Levallois methods. For this purpose, we have used experimentally knapped flint flakes, measuring several parameters that have been analyzed by seven ML algorithms.