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Utilizing LASSO for Breast Cancer Prediction: A Hyper Machine Learning Technique with Significant |
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PP: 2801-2813 |
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doi:10.18576/isl/121223
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Author(s) |
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Rawia Elarabi,
Najla Babiker,
Awatef Balobaid,
Walaa M. Abd-Elhafiez,
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Abstract |
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| 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.
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