Comparison of a classifier performance testing methods : support vector machine classifier on mammogram images classification
Joint Authors
Muhammad, Sura Jasim
Abbas, Dhikra Haydar
Source
Journal of Kufa for Mathematics and Computer
Issue
Vol. 6, Issue 1 (31 Mar. 2019), pp.8-12, 5 p.
Publisher
University of Kufa Faculty of Mathematics and Computers Science
Publication Date
2019-03-31
Country of Publication
Iraq
No. of Pages
5
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
This paper compares between testing performance methods of classifier algorithm on a standard database of mammogram images.
Mammographic interchange society dataset (MIAS) is used in this work.
For classifying these images tumors a multiclass support vector machine (SVM) classifier is used.
Evaluating this classifier accuracy for classifying the mammogram tumors into the malignant, benign or normal case is done using two evaluating classifier methods that are a hold-out method and one of the cross-validation methods.
Then selecting the better test method depending on the obtained classifier accuracy and the running time consumed with each method.
The classifier accuracy, training time and the classification time are considered for comparison purpose
American Psychological Association (APA)
Muhammad, Sura Jasim& Abbas, Dhikra Haydar. 2019. Comparison of a classifier performance testing methods : support vector machine classifier on mammogram images classification. Journal of Kufa for Mathematics and Computer،Vol. 6, no. 1, pp.8-12.
https://search.emarefa.net/detail/BIM-945893
Modern Language Association (MLA)
Muhammad, Sura Jasim& Abbas, Dhikra Haydar. Comparison of a classifier performance testing methods : support vector machine classifier on mammogram images classification. Journal of Kufa for Mathematics and Computer Vol. 6, no. 1 (Mar. 2019), pp.8-12.
https://search.emarefa.net/detail/BIM-945893
American Medical Association (AMA)
Muhammad, Sura Jasim& Abbas, Dhikra Haydar. Comparison of a classifier performance testing methods : support vector machine classifier on mammogram images classification. Journal of Kufa for Mathematics and Computer. 2019. Vol. 6, no. 1, pp.8-12.
https://search.emarefa.net/detail/BIM-945893
Data Type
Journal Articles
Language
English
Record ID
BIM-945893