University of Zagreb, Faculty of Electrical Engineering and Computing

Introduction to Data Science Course Project

Malignant and Benign Breast Cancer Classification using Machine Learning Algorithms

Fani Sentinella-Jerbić, Matej Čubek, Leon Novački, Fran Hrabar, 2021

This project's aim was to replicate and creatively expand a data science themed scientific article using a Jupyter notebook. We replicated the following article:

S. Ara, A. Das and A. Dey, Malignant and Benign Breast Cancer Classification using Machine Learning Algorithms, 2021 International Conference on Artificial Intelligence (ICAI), 2021, pp. 97-101, doi: 10.1109/ICAI52203.2021.9445249.

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Project Outline

1. Dataset Load
2. Data Analysis
3. Train-test Split
4. Feature Selection
5. Training Using ML Algorithms
6. Performance analysis

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Acknowledgements

• Creators of the article: Sharmin Ara, Annesha Das, Ashim Dey

• Creators of the dataset: Dr. William H. Wolberg, W. Nick Street, Olvi L. Mangasarian

• Project mentor: Eugen Vušak