[KongchangAI]
Concepterror gap

Error Gap

The difference in prediction error between two models, used to quantify the contribution of a given mechanism, such as parameter sharing or graph structure, to model performance.

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Oct 27

On the feeder data, parameter sharing recovers about two-thirds of the error gap between node-specific models and the GNN (relative to the regularized baseline).

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