Improving audit opinion prediction accuracy using metaheuristics-tuned XGBoost algorithm with interpretable results through SHAP value analysis

Todorovic, Mihailo; Stanisic, Nemanja; Zivkovic, Miodrag; Nebojsa Bacanin; Simic, Vladimir; Erfan Babaee Tirkolaee

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eNauka > Results > Improving audit opinion prediction accuracy using metaheuristics-tuned XGBoost algorithm with interpretable results through SHAP value analysis

Title:	Improving audit opinion prediction accuracy using metaheuristics-tuned XGBoost algorithm with interpretable results through SHAP value analysis
Authors:	Todorovic, Mihailo ; Stanisic, Nemanja ; Zivkovic, Miodrag ; Nebojsa Bacanin ; Simic, Vladimir ; Erfan Babaee Tirkolaee
Issue Date:	2023
Publication:	Applied Soft Computing
ISSN:	1568-4946 Applied Soft Computing Search Idenfier
Type:	Article
Collation:	str. 110955-110955
DOI:	10.1016/j.asoc.2023.110955
WoS-ID:	001108066100001
Scopus-ID:	2-s2.0-85175043979
URI:	https://enauka.gov.rs/handle/123456789/837642 https://www.sciencedirect.com/science/article/abs/pii/S1568494623009730 http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/2/9628
URL:	https://www.sciencedirect.com/science/article/abs/pii/S1568494623009730?via%3Dihub
Metadata source:	(Preuzeto iz ORCID-a) Živković, Miodrag
M-category:	21aM21a

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