Measuring the bias of incorrect application of feature selection when using cross-validation in radiomics
Summary
Measuring the bias of incorrect application of feature selection when using cross-validation in radiomics is a scholarly article[1].
Key Facts
Measuring the bias of incorrect application of feature selection when using cross-validation in radiomics's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Measuring the bias of incorrect application of feature selection when using cross-validation in radiomics. Retrieved May 24, 2026, from https://4ort.xyz/entity/measuring-the-bias-of-incorrect-application-of-feature-selection-when-using-cross-validation-in-radiomics
MLA“Measuring the bias of incorrect application of feature selection when using cross-validation in radiomics.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/measuring-the-bias-of-incorrect-application-of-feature-selection-when-using-cross-validation-in-radiomics.
BibTeX@misc{4ortxyz_measuring-the-bias-of-incorrect-application-of-feature-selection-when-using-cross-validation-in-radiomics_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Measuring the bias of incorrect application of feature selection when using cross-validation in radiomics}}, year = {2026}, url = {https://4ort.xyz/entity/measuring-the-bias-of-incorrect-application-of-feature-selection-when-using-cross-validation-in-radiomics}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Measuring the bias of incorrect application of feature selection when using cross-validation in radiomics — https://4ort.xyz/entity/measuring-the-bias-of-incorrect-application-of-feature-selection-when-using-cross-validation-in-radiomics (retrieved 2026-05-24)