IEEE

Tabular Data Classification and Regression: XGBoost or Deep Learning With Retrieval-Augmented Generation

Abstract: Tabular data is the most prevalent form of structured data, necessitating robust models for classification and regression tasks. Traditional models like eXtreme Gradient Boosting (XGBoost) ...
GitHub

Efficient tree-based nonlinear anchor regression and classification for Python.

article{londschien2025, title={Domain Generalization and Adaptation in Intensive Care with Anchor Regression}, author={Londschien, Malte, Burger, Manuel, R{\"a}tsch ...
Frontiers

Fuzzy decision-tree regression model and its application to measure some climate change factors

1 Department of Statistics, University of Sumer, Rifai, Iraq 2 Department of Statistics and Informatics Techniques, Northern Technical University, Mosul, Iraq In this paper, we considered a new study ...
IEEE

Gradient Boosting-Based Simultaneous Classification and Regression Approach

Abstract: The recent development of advanced data analytics and machine learning promoted the introduction of diverse learning techniques designed to alleviate challenges related to two major ...