HASEKI TIP BULTENI-MEDICAL BULLETIN OF HASEKI, cilt.60, sa.3, ss.196-203, 2022 (ESCI)
Aim: The diagnosis of breast cancer can be accomplished using an algorithm or an early detection model of breast cancer risk via determining factors. In the present study, gradient boosting machines (GBM), extreme gradient boosting (XGBoost) and light gradient boosting (LightGBM) models were applied and their performances were compared.