Fair train-test split in machine learning: Mitigating spatial autocorrelation for improved prediction accuracy
Summary
Fair train-test split in machine learning: Mitigating spatial autocorrelation for improved prediction accuracy is a scholarly article[1].
Key Facts
Fair train-test split in machine learning: Mitigating spatial autocorrelation for improved prediction accuracy's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Fair train-test split in machine learning: Mitigating spatial autocorrelation for improved prediction accuracy. Retrieved May 24, 2026, from https://4ort.xyz/entity/fair-train-test-split-in-machine-learning-mitigating-spatial-autocorrelation-for-improved-prediction-accuracy