Data analytics for gross domestic product using random forest and extreme gradient boosting approaches: an empirical study
-
Published:2022
Issue:3
Volume:14
Page:269
-
ISSN:1759-1163
-
Container-title:International Journal of Data Mining, Modelling and Management
-
language:en
-
Short-container-title:IJDMMM
Author:
Elamir Elsayed A.H.
Publisher
Inderscience Publishers
Subject
Computer Science Applications,Modeling and Simulation,Management Information Systems