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Results tagged with overfitting
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user 201218
Modeling error (especially sampling error) instead of replicable and informative relationships among variables improves model fit statistics, but reduces parsimony, and worsens explanatory and predictive validity.
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Accepted
How is it possible that validation loss is increasing while validation accuracy is increasin...
I sadly have no answer for whether or not this "overfitting" is a bad thing in this case: should we stop the learning once the network is starting to learn spurious patterns, even though it's continuing …
- 1,396