DTO-SMOTE: Delaunay Tessellation Oversampling for Imbalanced Data Sets
One of the significant challenges in machine learning is the classification of imbalanced<br />data. In many situations, standard classifiers cannot learn how to distinguish minority class<br />examples from the others. Since many real problems are unbalanced, this problem has become<...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-11-01
|
| Series: | Information |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2078-2489/11/12/557 |