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This question is closely similar, however, the answer only speaks about Logistic Regression being one example.
I am interested in knowing if there are more algorithms that are not affected (at least lesser affected than other algorithms) by datasets that have class imbalance.

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    $\begingroup$ Welcome to Cross Validated! What issue(s) do you see class imbalance causing? $\endgroup$
    – Dave
    Commented Apr 26, 2022 at 19:54
  • $\begingroup$ Thanks, Dave. The most common ones would be poor performance and bias. $\endgroup$ Commented Apr 26, 2022 at 20:01
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    $\begingroup$ Bias (what precisely do you mean by "poor performance"? An accuracy of 99.8% does not sound "poor", until one thinks about the class imbalance more deeply) arises not because of unsuitable algorithms, but because of evaluation metrics that reward it. Are unbalanced datasets problematic, and (how) does oversampling (purport to) help? $\endgroup$ Commented Apr 26, 2022 at 20:13

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