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Error and optimism bias regularization
Article describes how in Machine Learning, prediction quality is usually measured using different techniques and evaluation methods. This paper will introduce a simple regularization term to manage the number of over-predicted/under-predicted instances in a regression model.
Date:
January 28, 2023
Creator:
Sohaee, Nassim
System:
The UNT Digital Library