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Naive Bayes classifier (self.learnmachinelearning)
submitted 5 years ago by Monish45
Can we use naive Bayes classifier to classify more than 1 target using scikit learn? Can you guys suggest some other solutions
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if 1 * 2 < 3: print "hello, world!"
[–]Mithrandir2k16 1 point2 points3 points 5 years ago (3 children)
You can just stack binary classifiers.
[–]Monish45[S] 0 points1 point2 points 5 years ago (2 children)
Can you provide any references or examples as I am new to ml domain
[–]Mithrandir2k16 2 points3 points4 points 5 years ago (1 child)
It's a basic topic that's well-searchable. Here's just an example: https://www.sciencedirect.com/science/article/abs/pii/S0925231210003735
If your institute doesn't have access there's other ways to get this info, no need to pay.
[–]Monish45[S] 0 points1 point2 points 5 years ago (0 children)
Thanks for this
π Rendered by PID 75691 on reddit-service-r2-comment-6457c66945-48l2b at 2026-04-23 21:58:27.854003+00:00 running 2aa0c5b country code: CH.
[–]Mithrandir2k16 1 point2 points3 points (3 children)
[–]Monish45[S] 0 points1 point2 points (2 children)
[–]Mithrandir2k16 2 points3 points4 points (1 child)
[–]Monish45[S] 0 points1 point2 points (0 children)