multilabel_classification.txt

#Multi-Label classification
Typically, a classification task involves predicting a single label. Alternately, 
it might involve predicting the likelihood across two or more class labels. 
In these cases, the classes are mutually exclusive, meaning the classification
task assumes that the input belongs to one class only.
Some classification tasks require predicting more than one class label. 
This means that class labels or class membership are not mutually exclusive. 
These tasks are referred to as multiple label classification, or multi-label classification for short.