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The uniform distribution describes a random variable that is equally likely to take any value in its sample space.
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Why would predicted values be normally-distributed when the actual values are uniform?
I'm building a supervised learning model where the target variable is a uniformly-distributed continuous value ranging from 0-1 (originally a rank value from 1-38000, then scaled down to 0-1). The 20 …