Paper

Scientific machine learning benchmarks

Published Oct 25, 2021 · J. Thiyagalingam, M. Shankar, Geoffrey Fox

Nature Reviews Physics

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Abstract

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Study Snapshot

This paper outlines our approach to developing scientific machine learning benchmarks, aiming to identify the most appropriate algorithms for analyzing large scientific datasets and evaluate their performance.

PopulationOlder adults (50-71 years)

Sample size24

MethodsObservational

OutcomesBody Mass Index projections

ResultsSocial networks mitigate obesity in older groups.

Scientific machine learning benchmarks

References

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