Ensemble of Rotation Trees for Imbalanced Medical Datasets
Medical datasets are often predominately composed of “normal” examples with only a small percentage of “abnormal” ones and how to correctly recognize the abnormal examples is very meaningful. However, conventional classification learning methods try to pursue high accuracy by assuming that the numbe...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Hindawi Limited
2018-01-01
|
| Series: | Journal of Healthcare Engineering |
| Online Access: | http://dx.doi.org/10.1155/2018/8902981 |