#multi-label_classification
Multi-label classification
Classification problem where multiple labels may be assigned to each instance
In machine learning, multi-label classification or multi-output classification is a variant of the classification problem where multiple nonexclusive labels may be assigned to each instance. Multi-label classification is a generalization of multiclass classification, which is the single-label problem of categorizing instances into precisely one of several classes. In the multi-label problem the labels are nonexclusive and there is no constraint on how many of the classes the instance can be assigned to.
Sun 4th
Provided by Wikipedia
This keyword could refer to multiple things. Here are some suggestions:
0 searches
This keyword has never been searched before
This keyword has never been searched for with any other keyword.