Multi-label classification where multiple target labels might be assigned to each instance.
Questions tagged [multilabel]
182 questions
4
votes
1 answer
Rationale for Multi-Label vs. Single-Label learning?
I have not seen any research that compares the effects of single-label versus multi-label learning. What I mean by this is not comparing various types of evaluation metrics - such a comparison does not make sense, as single and multi-label learners…
lrthistlethwaite
- 555
1
vote
0 answers
Finding associations between different groups of characteristics
I have a large set of data, and two distinct ways of labelling that data, that aren't inherently linked but I suspect they may be. Each method takes a piece of data and assigns it one or more labels, but there are no labels that overlap between the…
Bluefire
- 205
- 2
- 6
1
vote
1 answer
Using probabilities for multi label classification
After working for a while on this text classification problem, I realize that some documents belong to more than one class. I am using multinomial logistic regression which also provides a probability distribution over the classes (labels). I wonder…
hrzafer
- 111
1
vote
1 answer
Correct implementation of binary relevance
I have questions regarding Binary Relevance implementation.
How to treat multi-label problem with empty class? (I have instance that cannot have any label). Should I introduce new label "NoLabel" in this case?
com
- 275
0
votes
1 answer
Bad results using Bayes Multinomial Navie in multi-label classification texts
I've been trying to classify multi-label texts with different classification algorithms.
I get some pretty good results with linear kernel SVM and with the rest of the kernels the result is not good. I understand that this happens because usually…
Blunt
- 3