The multilabel tag has no wiki summary.
1
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0answers
12 views
Single Multi-label classifier or multiple single-label classifiers?
I have a problem to classify my data that can fit into more than one class at same time. Based on an initial study, I came across "Multi-label classifier" that can classify data into more than one ...
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0answers
42 views
What is the method used in statistical classification when dealing with multi-dimensional discrete target labels?
If the training set is a set of $n$-tuples, with discrete labels, one can standardly use multinomial logistic regression (softmax), but what if the target labels are pairs of discrete values, or more ...
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63 views
Classifiers with post-training constraints on the prediction space
I'm familiar with using tools like SVMs and decision trees for discrete classification problems. But one detail that I have not encountered in that domain is: what do you do if your classifier must ...
3
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2answers
158 views
Multilabel logistic regression
Is there a way to use logistic regression to classify multi-labeled data? By multi-labeled, I mean data that can belong to multiple categories simultaneously.
I would like to use this approach to ...
4
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0answers
314 views
Would a Random Forest with multiple outputs be possible/practical?
Random Forests (RFs) is a competitive data modeling/mining method.
An RF model has one output -- the output/prediction variable.
The naive approach to modeling multiple outputs with RFs would be
to ...
