Xia Jiang

Experimenting with an Evaluation Framework for Imbalanced Data Learning (EFIDL)

2023 · arXiv (Cornell University)

Introduction Data imbalance is one of the crucial issues in big data analysis with fewer labels. For example, in real-world healthcare data, spam detection labels, and financial fraud detection datasets. Many data balance methods were …