A Comprehensive Study on Machine Learning in Breast Cancer Detection and Classification

Abstract

Breast cancer is one of the diseases that led to a huge number of deaths in the recent decades. One of the major issues that affect the recovery procedure is the early detection of the disease. Thus, in this paper, several machine learning algorithms that support the early detection process, along with the impact on combining these algorithms with hyperparameter tuning optimization techniques will be presented. Moreover, we conducted a comparison among proposed techniques to figure out which classifier model can achieve better detection accuracy of the disease.