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.
Source quote, verbatim
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.
From
Wulf A. Kaal, Blockchain Innovation for Private Investment Funds (2017), III.2. Combining AI, Big Data, and Blockchain, p. 21 https://ssrn.com/abstract=2998033 · source PDF
Cite as
Wulf A. Kaal, Blockchain Innovation for Private Investment Funds (2017). SSRN: https://ssrn.com/abstract=2998033
Holds when
applies to adaptive data analysis where the same data set is used repetitively
restated_bykaal:claim:3409548-009 Repeated use of the same data set by data scientists creates an overfitting risk: the training model overfits ...
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