Berkson's Paradox in Machine Learning

Understanding Hidden Biases in Data Analysis

Sometimes, statistics show surprising things that make us question what we see daily. Berkson's Paradox is one example of this. This Paradox is strongly related to the sampling bias problem and occurs when we mistakenly think that two things are related because we don't see the whole picture. As a machine learning expert, you should be familiar with this Paradox because it can significantly impact the accuracy of your predictive models …

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