Prediction of Breast Cancer Using Classification Algorithms

Harshitha R, S. Priya

2023

Abstract

Breast cancer is the most widespread aliment in women, an average of 1,78,000 new cases have been diagnosed every year. The work done in this research paper has been tested using the Breast cancer Data sets. This study was carried out to analyze Breast cancer data using the SVM algorithm. Support Vector Machine & Naïve Bayes algorithm are the two classifiers used in this research. The algorithms effectiveness, timeliness and precision are evaluated. Based on the findings, the optimal classification strategy for categorising breast cancer is chosen.

Paper Citation

in Harvard Style

R H. and Priya S. (2023). Prediction of Breast Cancer Using Classification Algorithms. In Proceedings of the 1st International Conference on Artificial Intelligence for Internet of Things: Accelerating Innovation in Industry and Consumer Electronics - Volume 1: AI4IoT; ISBN 978-989-758-661-3, SciTePress, pages 276-280. DOI: 10.5220/0012613600003739

in Bibtex Style

@conference{ai4iot23,
author={Harshitha R and S. Priya},
title={Prediction of Breast Cancer Using Classification Algorithms},
booktitle={Proceedings of the 1st International Conference on Artificial Intelligence for Internet of Things: Accelerating Innovation in Industry and Consumer Electronics - Volume 1: AI4IoT},
year={2023},
pages={276-280},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012613600003739},
isbn={978-989-758-661-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Artificial Intelligence for Internet of Things: Accelerating Innovation in Industry and Consumer Electronics - Volume 1: AI4IoT
TI - Prediction of Breast Cancer Using Classification Algorithms
SN - 978-989-758-661-3
AU - R H.
AU - Priya S.
PY - 2023
SP - 276
EP - 280
DO - 10.5220/0012613600003739
PB - SciTePress