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

Chenyu Li, Xia Jiang

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 fr…