Handling highly imbalanced output class label: a case study on Fantasy Premier League (FPL) virtual player price changes prediction using machine learning / Muhammad Muhaimin Khamsan and Ruhaila Maskat
In practice, a balanced target class is rare. However, an imbalanced target class can be handled by resampling the original dataset, either by oversampling/upsampling or undersampling/downsampling. A popular upsampling technique is Synthetic Minority Over-sampling Technique (SMOTE). This technique i...
Kaydedildi:
| Asıl Yazarlar: | , |
|---|---|
| Materyal Türü: | Kitap |
| Baskı/Yayın Bilgisi: |
Penerbit UiTM,
2019-12.
|
| Konular: | |
| Online Erişim: | Link Metadata |
| Etiketler: |
Etiketle
Etiket eklenmemiş, İlk siz ekleyin!
|