GitHub

dunaidutta007/fraud_detection_xgboost

Fraud Detection Using XGBoost Project Overview This project implements a fraud detection system using the XGBoost algorithm to classify financial transactions as fraudulent or non-fraudulent. The ...
IEEE

Building Ensemble Models with Python

This chapter uses several available Python packages to build predictive models using the ensemble algorithms. It demonstrates ensemble methods available as XGBoost, Python sklearn, and PySpark ...
GitHub

Failed running demo/guide-python/external_memory.py built from main

Hi, I'm trying to use ExtMemQuantileDMatrix for training huge dateset on gpus. For example, training 1Tb raw fp32 dataset on 4/8xRTX 4090 (24G) + 2/4Tb memory (which is sufficent for the same dataset ...
C&EN

Evaluating the Vascular Risk of PFCs: An Integrated XGBoost-Driven Structure–Activity Prediction and Experimental Validation Study

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Perfluorochemicals (PFCs) are emergent and persistent organic pollutants with ...