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[P] Multilabel Classifier With Closely Related Labels

Hey, I’m an industry outsider/hobbyist and trying to use AutoML text as a ternary classifier to prioritize incoming service request. The thing I realized is that multi-label classification appears to be for unrelated labels, but I’m dealing with labels that sit on a line, “low priority”, “medium priority”, “high priority”.

I don’t think this is the same problem as classifying with categorical labels such as “car”, “boat”, “plane”. The distance between low and high priority is much greater than medium, but the distance between a car, boat and plane are likely arbitrary. Is there any way to capture this? The only thing I’ve thought of so far is using a binary decision tree to check if low priority or not. If not, then check high priority. If not, then it’s assumed to be medium priority. Or does even that not work?

Sorry, I’m still trying to learn terminology and more on this subject. I’m not even sure what the name of the property I’m referring to is called.

submitted by /u/MaxxBreak
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.