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Performance Analysis of Different Classifiers used in Detecting Benign and Malignant Cells of Breast Cancer

by Taskin Noor Turna, Mst. Alema Khatun
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 183 - Number 27
Year of Publication: 2021
Authors: Taskin Noor Turna, Mst. Alema Khatun
10.5120/ijca2021921661

Taskin Noor Turna, Mst. Alema Khatun . Performance Analysis of Different Classifiers used in Detecting Benign and Malignant Cells of Breast Cancer. International Journal of Computer Applications. 183, 27 ( Sep 2021), 44-48. DOI=10.5120/ijca2021921661

@article{ 10.5120/ijca2021921661,
author = { Taskin Noor Turna, Mst. Alema Khatun },
title = { Performance Analysis of Different Classifiers used in Detecting Benign and Malignant Cells of Breast Cancer },
journal = { International Journal of Computer Applications },
issue_date = { Sep 2021 },
volume = { 183 },
number = { 27 },
month = { Sep },
year = { 2021 },
issn = { 0975-8887 },
pages = { 44-48 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume183/number27/32102-2021921661/ },
doi = { 10.5120/ijca2021921661 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:18:06.053068+05:30
%A Taskin Noor Turna
%A Mst. Alema Khatun
%T Performance Analysis of Different Classifiers used in Detecting Benign and Malignant Cells of Breast Cancer
%J International Journal of Computer Applications
%@ 0975-8887
%V 183
%N 27
%P 44-48
%D 2021
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Breast cancer is the most common disease now a days. To get an early detection the target is to find an efficient way to use scientific investigation, because early detection is the only way to remove cancer cell. To predict the accuracy of breast cancer detection, researchers have used different classification techniques. In this paper random forest, Support vector machine, XGBoost, Decision Tree, Naïve Bayes and AdaBoost have been used to analyze and compare the performance. A comparative study is done on these five classifiers using different accuracy measurements like performance, accuracy rate. This study shows that XGBoost gives the high performance among others.

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Index Terms

Computer Science
Information Sciences

Keywords

SVM XGBoost performance classification breast cancer

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