<p>Just use strong consistent classifier. See <a href="https://arxiv.org/abs/2201.08528" rel="nofollow noreferrer">https://arxiv.org/abs/2201.08528</a></p>
How to handle imbalanced data in general
<p>I have been working on the case study where data is highly imbalanced. we have been taught we can handle the imbalanced data by either under sampling the majority class or over sampling the minority class.
I wanted to ask if there is any other way/method that can be used to handle imbalanced data?</p>
<p>this question is more on conceptual side than programming.</p>
<p>for example,
I was thinking if we could put some weight on minority class (conceptually) to make the model emphasize on identifying pattern in minority class.
I don't know how that can be done but this concept theoretically should work.</p>
<p>feel free to put crazy ideas too.</p>