Mitigating imbalanced classification problems in academic performance with resampling methods / A'zraa Afhzan Ab Rahim and Norlida Buniyamin
The imbalanced dataset is a common problem in the educational performance environment, where the number of students with poor performance is much less than those who perform well. This can create problems when predicting academic performance using machine learning algorithms, which assume that the d...
Bewaard in:
| Hoofdauteurs: | , |
|---|---|
| Formaat: | Boek |
| Gepubliceerd in: |
UiTM Press,
2023-10.
|
| Onderwerpen: | |
| Online toegang: | Link Metadata |
| Tags: |
Voeg label toe
Geen labels, Wees de eerste die dit record labelt!
|
Wees de eerste die reageert!