What method would you use to neutralize bias within a dataset?

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Anonymous · Accepted Answer

1) if classification - check the class imbalance. Upsample the minor class
(random, to follow the distribution) or downsample the major class (iteratively
delete random one by one)

2) if regression-like - check the target distribution stats. Ideally we want
Normal or universal distribution.

3) in terms of the data itself - it must be collected at random and
independently (basics in experimentation setup for data gathering)

What method would you use to neutralize bias within a dataset?

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