Analysis of selected cross-validation methods in the rses program

Authors

  • Beata Bethke Uniwersytet Kazimierza Wielkiego Wydział Informatyki

DOI:

https://doi.org/10.34767/SIMIS.2024.01.02

Abstract

This article presents an analysis of a dataset using two cross-validation methods. The RSES program was employed to identify key properties and relationships within the dataset. The results indicate the impact of certain parameters on the potential accuracy of the
outcomes. 

Downloads

Published

2024-03-16

Issue

Vol. 16 No. 1 (2024): Studies and Materials in Applied Computer Science

Section

Artykuły

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

How to Cite

Analysis of selected cross-validation methods in the rses program. (2024). Studia I Materiały Informatyki Stosowanej, 16(1), 11-14. https://doi.org/10.34767/SIMIS.2024.01.02