Utilizing LASSO for Breast Cancer Prediction: A Hyper Machine Learning Technique with Significant

Authors

Rawia Elarabi, College of Computer Science & Information Technology, Jazan University, Jazan, Kingdom of Saudi ArabiaFollow
Najla Babiker, College of Computer Science & Information Technology, Jazan University, Jazan, Kingdom of Saudi ArabiaFollow
Awatef Balobaid, College of Computer Science & Information Technology, Jazan University, Jazan, Kingdom of Saudi ArabiaFollow
Walaa M. Abd-Elhafiez, College of Computer Science & Information Technology, Jazan University, Jazan, Kingdom of Saudi Arabia\\ Computer Science Department, Faculty of Computers and Artificial Intelligence, Sohag University, Sohag, EgyptFollow

Abstract

Cancer is a dangerous disease that greatly impacts peoples lives, with breast cancer being the most common form in women. Detecting and predicting cancer accurately is crucial for a healthy life. This paper aims to achieve the highest accuracy in classifying breast cancer using various classifiers. Machine learning models and LASSO feature selection were employed, and the performance of different classifiers was compared using precision, accuracy, recall, F1 score, and ROC-AUC metrics. The results showed that the proposed model with SVM and LASSO achieved the highest accuracy.

Recommended Citation

Elarabi, Rawia; Babiker, Najla; Balobaid, Awatef; and M. Abd-Elhafiez, Walaa (2023) "Utilizing LASSO for Breast Cancer Prediction: A Hyper Machine Learning Technique with Significant," Information Sciences Letters: Vol. 12 : Iss. 12 , PP -.
Available at: https://digitalcommons.aaru.edu.jo/isl/vol12/iss12/22