How will you deal with unbalanced data where the ratio of negative and positive is huge?
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Answer / Avnish Bharadwaj
Unbalanced data can be handled using various techniques. One approach is to apply oversampling methods on the minority class or undersampling methods on the majority class. Another strategy involves using cost-sensitive learning, which penalizes errors made on the minority class more heavily.
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