Statistical Learning with Imbalanced Data
In this thesis several sampling methods for Statistical Learning with imbalanced data have been implemented and evaluated with a new metric, imbalanced accuracy. Several modifications and new algorithms have been proposed for intelligent sampling: Border links, Clean Border Undersampling, One-Sided...
| Main Author: | |
|---|---|
| Format: | Others |
| Language: | English |
| Published: |
Linköpings universitet, Filosofiska fakulteten
2017
|
| Subjects: | |
| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-139168 |