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In the current model, parsimony enters the loss, and this loss enters the pareto frontier calculation. So technically even if a model has a better predictive accuracy than a simpler model, it might be removed from the pareto frontier due to parsimony.
So, we should remove parsimony altogether from hall of fame scores.
The text was updated successfully, but these errors were encountered:
In the current model, parsimony enters the loss, and this loss enters the pareto frontier calculation. So technically even if a model has a better predictive accuracy than a simpler model, it might be removed from the pareto frontier due to parsimony.
So, we should remove parsimony altogether from hall of fame scores.
The text was updated successfully, but these errors were encountered: