Corrigendum To: Deep Learning(S) In Gaming Disorder Through The User-Avatar Bond: A Longitudinal Study Using Machine Learning
Corrigendum To: Deep Learning(S) In Gaming Disorder Through The User-Avatar Bond: A Longitudinal Study Using Machine Learning
Author(s): VASILEIOS STAVROPOULOS, Daniel Zarate, Maria Prokofieva, Noirin van de Berg, Leila Karimi, Angela Gorman Alesi, Michaella Richards, Soula Bennet, Mark D. GriffithsSubject(s): Behaviorism, Substance abuse and addiction
Published by: Akadémiai Kiadó
Keywords: corrigendum;
Summary/Abstract: The tables provided in the original paper aligned with the analysis as it was initially described, with SMOTE applied prior to the data split. To solidify the results, the analysis has now been replicated with data balancing remedies, such as SMOTE, applied post-split, ensuring consistency and robustness in the findings.
Journal: Journal of Behavioral Addictions
- Issue Year: 13/2024
- Issue No: 4
- Page Range: 901-903
- Page Count: 3
- Language: English
