An Analysis of Ensemble Machine Learning Algorithms for Breast Cancer Detection: Performance and Generalization

Breast cancer is an explorative area, now a days, it is common dieses in females. So, the diagnosis of breast cancer for a patient at early stage can help to preventtheir lives. The prediction of breast cancer by using machine learning can be done after applying the various machine learning algorithms. Here, we applied ensemble machine learning algorithms and got better results in terms of performance and generalization. In this paper, the comparative analysis of Light Gradient Boosting (LightGBM) and Gradient Boosting have been done and experiments done by using labelled dataset of breast cancer. The LightGBM algorithm has been found to be less accurate in comparison to Extreme Gradient Boosting (XGBoost) algorithm.