2026-09-26T18:49:53Z https://epublications.vu.lt/oai

oai:vu.lt:elaba:81807179 2026-07-09T00:43:14Z openaireNDLTDDRIVER

Kredito rizikos prognozavimas naudojantis mašininio mokymosi algoritmu ,,XGboost" /Credit risk forecast using machine learning algorithm ,,xgboost".Norkus, Domantas,info:eu-repo/semantics/openAccessIn this bachelor thesis I will introduce machine learning algorithm „XGboost” which will try to predict rating downgrade. Attention will be drawn to algorithm’s theoretical background, analysing how regression and regularization functions behave in tree space. Thus, methods for analysing model performence will be introduced and explained. From practical perspective, will try to set up explained algorithm for given prediction problem and solve it with use of „Python” libraries, created for statistics and machine learning. Though regression trees is not a new subject, nevertheless, with increased amount of data and development of computer technologies, capabilities of solving different problems have widened from medicine drugs testing to implementing an analytical checkers program.Institutional Repository of Vilnius UniversityManstavičius, Martynasinfo:eu-repo/semantics/bachelorThesislit2020application/pdfhttps://epublications.vu.lt/object/elaba:81807179/81807179.pdfhttps://repository.vu.lt/VU:ELABAETD81807179&prefLang=en_US