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

• প্রধান লেখক: Khamsan, Muhammad Muhaimin (লেখক), Maskat, Ruhaila (লেখক)
• বিন্যাস: গ্রন্থ
• প্রকাশিত: Penerbit UiTM, 2019-12.
• বিষয়গুলি: Article; PeerReviewed
• অনলাইন ব্যবহার করুন: Link Metadata

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...