Evaluating machine learning techniques for archaeological lithic sourcing: a case study of flint in Britain (vol 11, 10197, 2021)

Elliot, Tom ORCID: 0000-0002-5249-2671, Morse, Robert, Smythe, Duane and Norris, Ashley (2021) Evaluating machine learning techniques for archaeological lithic sourcing: a case study of flint in Britain (vol 11, 10197, 2021). SCIENTIFIC REPORTS, 11 (1). 22985-.

Text
Publisher Correction Evaluating machine learning techniques for archaeological lithic sourcing a case study of flint in Brit.pdf - Published version
Download (766kB) | Preview

Official URL: http://dx.doi.org/10.1038/s41598-021-02402-z

Abstract

The original version of this Article contained errors in the legends of Figure 8 and 9. The legend of Figure 8: “Learning curve shows F1 score for train and test data against number of observations in training data.” now reads: “Box Plot of F1 Scores for each model, showing good equality of variances.”

Item Type:	Article
Divisions:	Faculty of Humanities and Social Sciences > School of Histories, Languages and Cultures
Depositing User:	Symplectic Admin
Date Deposited:	10 Jun 2022 13:49
Last Modified:	18 Jan 2023 21:00
DOI:	10.1038/s41598-021-02402-z
Related URLs:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3156192