A PERFORMANCE ANALYSIS OF A DATA SET ACQUIRED BY MEANS OF BOOTSTRAP TECHNIQUE WITH MACHINE LEARNING ALGORITHMS
Tolga Demirhan, Özlem Uçar
Pagini: 344-352
Publicat: 10 Jul 2016
Vizualizări: 2,184
Descărcări: 605
Rezumat: A common problem which is encountered in the data analysis phase of scientific studies with special groups is a small sample size. In order to eliminate this problem, resampling techniques, which allow for dependable predictions and replicability of the results with small sample sizes, are used. In this study, large samples acquired through a data set with a small sample size by means of Resampling Excel-add-in macro developed with Bootstrap technique on Excel 2013 were subjected to performance analysis with weka, which is a machine learning tool.
Cuvinte cheie: bootstrap, weka, hearing-impaired, resampling
Citează acest articol: Tolga Demirhan, Özlem Uçar. A PERFORMANCE ANALYSIS OF A DATA SET ACQUIRED BY MEANS OF BOOTSTRAP TECHNIQUE WITH MACHINE LEARNING ALGORITHMS. Journal of International Scientific Publications: Materials, Methods & Technologies 10, 344-352 (2016). https://www.scientific-publications.net/en/article/1001157/
Înapoi la cuprinsul volumului
© 2025 The Author(s). This is an open access article distributed under the terms of the
Creative Commons Attribution License https://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. This permission does not cover any third party copyrighted material which may appear in the work requested.
Disclaimer: The Publisher and/or the editor(s) are not responsible for the statements, opinions, and data contained in any published works. These are solely the views of the individual author(s) and contributor(s). The Publisher and/or the editor(s) disclaim any liability for injury to individuals or property arising from the ideas, methods, instructions, or products mentioned in the content.
