| Class | Description |
|---|---|
| BaggingML |
BaggingML.java - Combining several multi-label classifiers using Bootstrap AGGregatING.
|
| BaggingMLdup |
BaggingMLdup.java - A version of BaggingML where Instances are duplicated instead of assigned higher weighs.
|
| CM |
CM.java - Classification Maximization using any multi-label classifier.
|
| DeepML |
DeepML.java - Deep Multi-label Classification.
|
| EM |
EM.java - Expectation Maximization using any multi-label classifier.
|
| EnsembleML |
EnsembleML.java - Combines several multi-label classifiers in a simple-subset ensemble.
|
| MBR |
MBR.java - Meta BR: BR stacked with feature outputs into another BR.
|
| MultilabelMetaClassifier |
MultilabelMetaClassifier.java - For ensembles of multi-label methods.
|
| RandomSubspaceML |
RandomSubspaceML.java - Subsample the attribute space and instance space randomly for each ensemble member.
|
| SubsetMapper |
Maps the output of a multi-label classifier to a known label combination using the hamming distance.
|