
Application of the Synthetic Over-Sampling Method to Increase the Sensitivity of Algorithm Classification for Class Imbalance in Small Spatial Datasets
Author(s) -
Abel A. Cuadrado,
Zahriah Othman,
Safiza Suhana,
Kamal Baharin,
Aji Suraji,
Anastasia Lidya Maukar
Publication year - 2022
Publication title -
international journal of intelligent engineering and systems
Language(s) - English
Resource type - Journals
eISSN - 2185-310X
pISSN - 1882-708X
DOI - 10.22266/ijies2022.1031.58
Subject(s) - computer science , sensitivity (control systems) , class (philosophy) , algorithm , sampling (signal processing) , data mining , pattern recognition (psychology) , artificial intelligence , machine learning , computer vision , filter (signal processing) , electronic engineering , engineering