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In general it depends on how unbalanced your dataset is. A small unbalance is not nessesarily something you need to take care of. You could always consider doing the following to counter the unbalance in your dataset:
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Hello first of all, I have a unbalanced classification dataset. Which method/approach should I use to test this model ? Is confusion matrix enough or there is other metrics that I should use ?
Suggestions will be greatly appreciated.
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