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Results tagged with multilabel-classification
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user 80129
Multilabel classification assigns to each sample a set of target labels. This can be thought as predicting properties of a data-point that are not mutually exclusive, such as topics that are relevant for a document. A text might be about any of religion, politics, finance or education at the same time or none of these.
5
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2
answers
7k
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SMOTE for multilabel classification
I have a dataset with 77 different labels. Each sample has one or more of these labels.
I did some data analysis and found out that the dataset is highly imbalanced - there are a large number of exam …
- 239
0
votes
1
answer
583
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Recall score for each sample in multilabel classification
Does it make sense to calculate the recall for each sample in a multilabel classification problem?
Suppose I have 3 data samples, each having its own true set of labels and predicted set of labels.
I …
- 239