Prediction of potential occurrence of historical objects with defensive function in Slovakia using machine learning approach

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28150%2F24%3A63583278" target="_blank" >RIV/70883521:28150/24:63583278 - isvavai.cz</a>

Result on the web

<a href="https://www.nature.com/articles/s41598-024-82290-1.pdf" target="_blank" >https://www.nature.com/articles/s41598-024-82290-1.pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1038/s41598-024-82290-1" target="_blank" >10.1038/s41598-024-82290-1</a>

Result language

angličtina

Original language name

Prediction of potential occurrence of historical objects with defensive function in Slovakia using machine learning approach

Original language description

In this article, we aim at the prediction of possible locations of already defunct historical objects with a defensive function (HODFs) in Slovakia, which have not been found and documented so far, using three machine learning methods. Specifically, we used the support vector machine, k-nearest neighbors, and random forest algorithms, which were trained based on the following five factors influencing the possible occurrence of HODFs: elevation, distance from a river, distance from a settlement, lithological rock type, and type of representative geoecosystems. Training and testing datasets were based on a database of already documented 605 HODFs, which were divided into 70% of training samples and 30% of testing samples. All of the three models reached the AUC-ROC value over 0.74 based on the testing dataset. The best performance was recorded by the random forest predictive model with the AUC-ROC value equal to 0.79. The results of the random forest model were also validated with the recently documented HODFs via the archeological research.

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

60102 - Archaeology

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2024

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

SCIENTIFIC REPORTS

ISSN

2045-2322

e-ISSN

2045-2322

Volume of the periodical

14

Issue of the periodical within the volume

neuvedeno

Country of publishing house

DE - GERMANY

Number of pages

13

Pages from-to

—

UT code for WoS article

001372606600039

EID of the result in the Scopus database

2-s2.0-85211084443