Employed Support Vector Machine (SVM) in classification With Practical Application

Authors

  • Duraid Hussein Badr
  • Aleaa Hashem Mohammed

Keywords:

Supportive vector technology, kidney disease

Abstract

The support vector machine (SVM) where used for classify kidney patients in the first two types (renal failure) and the second (infections and pebbles) and depending on some factors affecting the determination of the two type of disease , where a sample was takes by size (216) observations for the patients with diabetes from kidneys from the General Hospital in Basra, using the program packages ready ((5 / 7/2019 (R.Version.3.6.1) for statistical processing, and finally high in classification and based on the correct recognition ratio, depending on the correct classifier  rate about 97%.

Published

2019-06-06

How to Cite

حسين بدر د. . ., & هاشم محمد . ع. (2019). Employed Support Vector Machine (SVM) in classification With Practical Application. Mustansiriyah Journal for Sciences and Education, 20(5), 113-134. Retrieved from https://edumag.uomustansiriyah.edu.iq/index.php/mjse/article/view/677

Issue

Section

Research Article