A PERFORMANCE ANALYSIS OF A DATA SET ACQUIRED BY MEANS OF BOOTSTRAP TECHNIQUE WITH MACHINE LEARNING ALGORITHMS
Published: 10 Jul 2016
Abstract: 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.
Keywords: bootstrap, weka, hearing-impaired, resampling
Download full text
Back to the contents of the volume
© 2018 The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/3.0/
, 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.