Machine Learning (ML)
One model scored a perfect 1.0000 on the rows it was trained on and 0.3474 on new ones. Another scored 0.9842 and 0.9822.
One model scored a perfect 1.0000 on the rows it was trained on and 0.3474 on new ones. Another scored 0.9842 and 0.9822.
Understand total versus marginal utility, why concavity produces risk aversion under expected utility, and how diminishing returns differ in machine learning.