Timeline for What is the difference between a multiclass and a multilabel problem?
Current License: CC BY-SA 3.0
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| Jun 23, 2023 at 23:39 | comment | added | Nate Anderson | An example of multiclass-multioutput described on scikit-learn: "For example, classification of the properties “type of fruit” and “colour” for a set of images of fruit. The property “type of fruit” has the possible classes: “apple”, “pear” and “orange”. The property “colour” has the possible classes: “green”, “red”, “yellow” and “orange” I was confused numbers in your third screenshot; but they are integers, I can imagine each integer maps to a label+class like "colour:green" or "fruit:pear" | |
| Jun 21, 2023 at 23:52 | comment | added | Nate Anderson | Thanks for the visuals, very helpful! How can I interpret one of the rows in the multioutput-multiclass problem screenshot? Like maybe each column represents a different topic ("Sports" "Religion" "Politics"), and the value represents the "strength" of that? Doesn't that become a "multioutput regression" problem? In other words, what's an example of a multioutput-multiclass problem? (I guess scikitlearn calls them multiclass-multioutput, same thing?) | |
| Aug 26, 2015 at 20:41 | history | edited | Franck Dernoncourt | CC BY-SA 3.0 |
added 189 characters in body
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| Aug 26, 2015 at 20:27 | history | answered | Franck Dernoncourt | CC BY-SA 3.0 |