Building Machine Learning Model for Predicting Breast Cancer Using different Regression Techniques
K. Devasena, J. Shana · IOP Conference Series Materials Science and Engineering · 2021
Abstract Breast cancer is one of the major life-threatening diseases in the world today. But early diagnosis would ensure timely treatment and even recovery. Apart from the medical procedures that help to identify cancer, techniques such as machine learning can be applied to predict the occurrence of the disease in patients by analyzing their cell data. In this work, an attempt is made to apply three different regression techniques Multiple, Ridge, and Polynomial regression techniques. The performance metrics reveal that Multiple regression has a better performance compared to the other models.