MultilabelClassification.md (422B)
1 # Multilabel Classification 2 3 ML D2 4 5 **Definition:** Multilabel classification is classification where there may be multiple binary outputs that are true. 6 7 An example of this would be an human recognition model. Let's say we want to know if bob, jim, or mary are in an image. If bob and jim are in the image the model should then return [true, true, false] or some sort of understandable output to denote such information.