A specific phenomenon when model discrepancy on Validation dataset is not close to model discrepancy on Training dataset and means that a given model realization has "remembered" the Training dataset but can not accurately predict on the data points outside the Training dataset.
See also
Natural Science / System / Model
Formal science / Mathematics / Statistics
[ Source Dataset ] [ Training dataset ] [ Validation dataset ]