Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

1 Key Laboratory of Southern Xinjiang Production and Construction Corps, College of Horticulture and Forestry, Tarim University, Alar, Xinjiang, China 2 Facility Agriculture Department, First Division ...

I am trying to implement the conditional feature importance on my xgboost for which I need to explicitly access each tree within the model to track split points and few other statistics for each ...

1 School of Information Engineering, Huzhou University, Huzhou, China 2 Key Laboratory of Artificial Organs, Computational Medicine in Zhejiang Province, College of Information Science and Technology, ...

1 Computer Science and Engineering, World University of Bangladesh, Dhaka, Bangladesh. 2 Business Analytics, International American University, California, USA. 3 ...

Abstract: Focusing on feature importance, this study utilized the XGBoostClassifier to predict NBA player salaries within categorized salary bands. Oversampling techniques ensured balanced class ...

Abstract: In modern education, accurately predicting students' learning performance and identifying influencing factors is an important challenge. Current methods often face problems such as high data ...

ABSTRACT: Background: Treatment-resistant depression (TRD) poses significant clinical challenges, with many patients inadequately responding to augmentation strategies like aripiprazole. Pramipexole, ...