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Results tagged with multilabel-classification
Search options not deleted user 138321
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.
1 vote
0 answers
26 views
Learning models for non-mutually exclusive events/ labels other than Multilabel classification
I have the following dataframe (in wide format) which records the IQ, Hours (number of hours of studying) and Score (past exam score for student 1,2,3,4 in different classes (Class_ID) and I would lik …
- 183
2 votes
1 answer
30 views
Multilabel Classification with fixed number of outcomes
In multiclass classification, typically we have a dataframe that looks like feature1 feature2 feature3 feature4 class1 class2 class3 12 53 93 12 0 1 0 52 30 …
- 183