This project aims to predict the likelihood of breast cancer with an impressive 98.25% accuracy using CatBoost Regression — a state-of-the-art machine learning algorithm known for its efficiency and ...

In this paper, we have used various algorithms such as Gradient Boost Regression, Catboost Regression, Decision Tree Regression and K-neighbors Regression by categorizing predictions based on ...

Use of CatBoost algorithm to identify the need for surgery in infants with necrotizing enterocolitis Xinyun Jin 1,2,† Wenqiang Sun 1,2,† Yihui Li 1,2 Yinglin Su 3 Lingqi Xu 1,2 Xueping Zhu 1* 1 ...

Breast cancer is a major health concern that affects millions of women around the world, and early detection is crucial for improving patient outcomes. Machine learning algorithms have emerged as ...