<?xml version="1.0" encoding="UTF-8"?><resource xmlns="http://datacite.org/schema/kernel-4"><identifier identifierType="URL">https://inrepscholar.com/projects/960</identifier><creators><creator><creatorName>Tianqi Chen, Carlos Guestrin</creatorName></creator></creators><titles><title>xgboost-a-scalable-tree-boosting-system-2023-021</title></titles><publisher>UFTAN UNIVERSITY</publisher><publicationYear>2023</publicationYear><resourceType resourceTypeGeneral="Text">Masters Thesis</resourceType><descriptions><description descriptionType="Abstract">This record links to the XGBoost paper, which describes a scalable tree boosting system used widely in data science. It provides a strong test case for statistics metadata, predictive modelling keywords, and external link previews.</description></descriptions></resource>