kaal:claim:3409548-009
Repeated use of the same data set by data scientists creates an overfitting risk: the training model overfits the test set, which limits the performance of the applied model on a different dataset.
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When data scientists use the same data set repetitively a risk exists that the training model will overfit the test set of data, which can limit the performance of the applied model on a different dataset.
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failuresupport: arguedfailure: Overfitting from repeated reuse of the same data setfamily: ai-model-and-training-failureai-and-agentsrisk-and-incentives
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