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Tobias Kuhn

2024-07-12T09:07:29.273Z

https://w3id.org/kpxl/ios/ds/np/RAn08NC9is... RAn08NC9is

links a nanopublication to its assertion http://www.nanopub.org/nschema#hasAssertion assertion

http://purl.org/dc/terms/date date

2024-06-26

Tobias Kuhn

2024-07-12T09:07:29.273Z

https://w3id.org/kpxl/ios/ds/np/RAn08NC9is... RAn08NC9is

links a nanopublication to its assertion http://www.nanopub.org/nschema#hasAssertion assertion

http://purl.org/dc/terms/title title

Measuring Data Drift with the Unstable Population Indicator

Tobias Kuhn

2024-07-12T09:07:29.273Z

https://w3id.org/kpxl/ios/ds/np/RAn08NC9is... RAn08NC9is

links a nanopublication to its assertion http://www.nanopub.org/nschema#hasAssertion assertion

http://purl.org/dc/terms/abstract abstract

Measuring data drift is essential in machine learning applications where model scoring (evaluation) is done on data samples that differ from those used in training. The Kullback-Leibler divergence is a common measure of shifted probability distributions, for which discretized versions are invented to deal with binned or categorical data. We present the Unstable Population Indicator, a robust, flexible and numerically stable, discretized implementation of Jeffrey's divergence, along with an implementation in a Python package that can deal with continuous, discrete, ordinal and nominal data in a variety of popular data types. We show the numerical and statistical properties in controlled experiments. It is not advised to employ a common cut-off to distinguish stable from unstable populations, but rather to let that cut-off depend on the use case.

Tobias Kuhn

2024-07-12T09:07:29.273Z

https://w3id.org/kpxl/ios/ds/np/RAn08NC9is... RAn08NC9is

links a nanopublication to its assertion http://www.nanopub.org/nschema#hasAssertion assertion

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Tobias Kuhn

2024-07-12T09:07:29.273Z

https://w3id.org/kpxl/ios/ds/np/RAn08NC9is... RAn08NC9is

links a nanopublication to its assertion http://www.nanopub.org/nschema#hasAssertion assertion

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http://id.crossref.org/issn/2451-8492 2451-8492

Tobias Kuhn

2024-07-12T09:07:29.273Z

https://w3id.org/kpxl/ios/ds/np/RAn08NC9is... RAn08NC9is

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Tobias Kuhn

2024-07-12T09:07:29.273Z

https://w3id.org/kpxl/ios/ds/np/RAn08NC9is... RAn08NC9is

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Tobias Kuhn

2024-07-12T09:07:29.273Z

https://w3id.org/kpxl/ios/ds/np/RA0XRooQKz... RA0XRooQKz

links a nanopublication to its provenance http://www.nanopub.org/nschema#hasProvenance provenance

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Tobias Kuhn

2024-07-12T07:32:15.922Z

https://w3id.org/kpxl/ios/ds/np/RA0XRooQKz... RA0XRooQKz

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Tobias Kuhn

2024-07-12T07:32:15.922Z

https://w3id.org/kpxl/ios/ds/np/RA0XRooQKz... RA0XRooQKz

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http://purl.org/dc/terms/description description

Tobias Kuhn

2024-07-12T07:32:15.922Z