Detection of Breast Cancer Using Machine Learning Algorithms

Authors

  • Vijaylaxmi Kochari  Bharatesh College of Computer Applications, Belagavi, Karnataka, India

DOI:

https://doi.org/10.32628/CSEIT217141

Keywords:

Breast Cancer, Linear Regression, Decision Tree, Random Forest.

Abstract

Breast cancer represents one of the dangerous diseases that causes a high number of deaths every year. The dataset containing the features present in the CSV format is used to identify whether the digitalized image is benign or malignant. The machine learning models such as Linear Regression, Decision Tree, Radom Forest are trained with the training dataset and used to classify. The accuracy of these classifiers is compared to get the best model. This will help the doctors to give proper treatment at the initial stage and save their lives.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2021-02-28

Issue

Volume 7, Issue 1, January-February-2021

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

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

How to Cite

[1]
Vijaylaxmi Kochari, " Detection of Breast Cancer Using Machine Learning Algorithms" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 7, Issue 1, pp.223-227, January-February-2021. Available at doi : https://doi.org/10.32628/CSEIT217141