Title: Prediction of Breast Cancer using Random Forest, Support Vector Machines and Naïve Bayes

Author(s): Madeeh Nayer Elgedawy1

1Institute of Public Administration, Computer Department,

Prince Mohammed Bin Fahd Road, Dammam

This email address is being protected from spambots. You need JavaScript enabled to view it.



Machine learning techniques can be used to judge important predictor variables in medical datasets. This paper applies three machine learning techniques: Naïve Bayes, SVM and Random Forest to Wisconsin Breast Cancer Database. The three developed models predict whether the patients’ trauma are benign or malignant. The paper aims at comparing the performance of these three algorithms through accuracy, precision, recall and f-measure. Results show that Random Forest yields the best accuracy of 99.42%, which is slightly better than both SVM and Naïve Bayes that have accuracies of 98.8% and 98.24% respectively. These results are very competitive and can be used for diagnosis, prognosis, and treatment

License: This work is licensed under a Creative Commons Attribution 4.0 International License.


Website: http://www.ijecs.in

e-ISSN:  2319-724

Call For Paper

VOLUME 06. ISSUE 04 [April 2017]

IJECS invites authors to submit manuscripts Reporting original engineering research, computer science , original article, research article, case report, systematic reviews, or educational Innovations for publication for the Current issues. Types of manuscripts suitable for IJECS include: Engineering Science, Computer Science, Educational Innovation, Brief Report, Reviews on Teaching In keeping with high quality scholarship

Read More

Online Submission

If any difficulty you can also submit to: This email address is being protected from spambots. You need JavaScript enabled to view it..in



About Us

The“International Journal of Engineering  and computer science”(IJECS™) is an international online journal in English published monthly. The aim of IJECS is to publish peer reviewed research and review articles in rapidly developing field of engineering science and technology


Address : 20 manglam vihar Mandsaur

State : Madhya Pradesh

Country : INDIA

Phone :+91 (777) 189 36 00

Email: editor@ijecs.in

Go to top