Fractal Interview Questions | Unbalanced Binary Classification

Question

How to deal with unbalanced binary classification? State some common steps for the same.

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Dhruv2301 55 years 1 Answer 689 views Great Grand Master 0

Answer ( 1 )

  1. There are several techniques to handle unbalanced binary classifier dataset:
    We can use random undersampling where the number of instance of majority class is deleted.
    We can also use random oversampling where the number of instance of minority class is duplicated
    We can use SMOTE ( Synthetic Minority Oversampling Technique) to add instance of minority class. SMOTE uses nearest neighbours of the minority class to create synthetic data.

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