In the Statistics.com Blog. Useful piece on handling the inevitable noise with models. Directional rather than technical piece.
Handling the Noise - Boost It or Ignore It?
Posted on Mar 06, 2019 By: Peter Bruce
In most statistical modeling or machine learning prediction tasks, there will be cases that can be easily predicted based on their predictor values (signal), as well as cases where predictions are unclear (noise). Two statistical learning methods, boosting and ProfWeight, use those difficult cases in exactly opposite ways - boosting up-weights them, and ProfWeight down-weights them. ... "
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