Class imbalance is a very common problem when applying ML algorithms. Spam filtering is one such application where class imbalance is apparent. There are many more non-spam emails in a typical inbox than spam emails. The following approaches can be used to address the class imbalance problem. Designing an Assymetric cost function where the cost…
How do you deal with dataset imbalance in a problem like spam filtering ?
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