kaal:claim:2998033-021
Repeated use of the same dataset by data scientists creates an overfitting risk: the training model fits the test set so closely that its performance on a different dataset degrades.
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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-in-repeated-dataset-usefamily: ai-model-and-training-failureai-and-agentsrisk-and-incentives
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