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)
Mostrar afiliaciones +

Editor: Harvard Dataverse

Año de publicación: 2020

Tipo: Dataset

DOI: 10.7910/DVN/T8SEC2 lock_openAcceso abierto editor

Resumen

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.