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Results tagged with overfitting
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user 183268
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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how to choose model when training accuracy is lower than validation accuracy while training ...
Note that a problem of feedforward neural networks in general is overfitting, getting a better score on the training set but decreasing performance on the validation and test set. …
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