Abstract: In this study, an achievement analysis using weka algorithms was conducted on samples acquired by means of bootstrap method. Bootstrap is one of the resampling methods that allow for the replicability of the results without replicating the same method in a new group, a technique which is used in cases with small sample sizes. In this study, this method is used through the instrument of Resampling Excel-add-in macro developed on Excel 2013. As a result, the large samples acquired were analyzed with Weka and the factors which have an effect on student achievement were investigated.
Cite this article: Tolga Demirhan, Özlem Uçar. AN ACHIEVEMENT ANALYSIS OF SPECIAL EDUCATION SAMPLES ACQUIRED BY MEANS OF BOOTSTRAP METHOD WITH WEKA ALGORITHMS. Journal of International Scientific Publications: Materials, Methods & Technologies 10, 337-343 (2016). https://www.scientific-publications.net/en/article/1001156/