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For questions that involve imbalanced (or unbalanced) datasets.

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As described in this post, this problem is known as "unbalanced dataset" problem, which can have different solution approaches. If you use supervised learning, augmentation approaches could help. Oth …
answered Oct 27 '20 by Marvin
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Assuming we have big $m \times n$ input dataset, with $m \times 1$ output vector. It's a classification problem with only two possible values: either $1$ or $0$. Now, the problem is that almost all el …
asked Dec 23 '19 by Marvin