Screening Off – The right answer for thinking about model bias
Screening Off – The right answer for thinking about model bias
By Gary Angel
|December 20, 2019
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The Measurement Minute by Gary Angel
You can’t use a protected variable in a model and you shouldn’t use a proxy for it either. But how do you decide what’s a proxy and what isn’t given that age, race and gender are massively correlated to a wide range of likely predictive variables? The answer lies in a generally useful concept in data science: screening off.