Prediction intervals are commonly used for linear models but are often underused for random forests. Leveraging the fact that a random forest can provide a conditional distribution instead of just the conditional mean makes prediction intervals relatively straightforward to use in this context.
Read it!An analysis of consumer product-related injuries occurring in the United States from 2009 to 2014, including toilet-related injuries and injuries to children while skiing.
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