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) ...
FinanceFeeds

Crypto Machine Learning Algorithms Explained for Beginners

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...
IEEE

Influence-Balanced XGBoost: Improving XGBoost for Imbalanced Data Using Influence Functions

Abstract: Decision tree boosting algorithms, such as XGBoost, have demonstrated superior predictive performance on tabular data for supervised learning compared to neural networks. However, recent ...
GitHub

NBA Player Performance Prediction

Prediction: build_features_for_player() (in src/predictions/predict_games.py) calculates features for a single player/game combination in real-time: Queries the ...
Scientific Research Publishing

Chen, T. and Guestrin, C. (2016) XGBoost: A Scalable Tree Boosting System.

ABSTRACT: Accurate land use/land cover (LULC) classification remains a persistent challenge in rapidly urbanising regions especially, in the Global South, where cloud cover, seasonal variability, and ...