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!A comparison of energy consumption between Airbnb guests and their host in the same apartment during 2022. Guess who consumes more!
Read it!Leveraging web scraping and predictive models to find a good apartment to rent in Berlin.
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