The impact of data splitting methods on machine learning models: A case study for predicting concrete workability
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The impact of data splitting methods on machine learning models: A case study for predicting concrete workability is a scholarly article[1].
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The impact of data splitting methods on machine learning models: A case study for predicting concrete workability's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). The impact of data splitting methods on machine learning models: A case study for predicting concrete workability. Retrieved May 24, 2026, from https://4ort.xyz/entity/the-impact-of-data-splitting-methods-on-machine-learning-models-a-case-study-for-predicting-concrete-workability
MLA“The impact of data splitting methods on machine learning models: A case study for predicting concrete workability.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/the-impact-of-data-splitting-methods-on-machine-learning-models-a-case-study-for-predicting-concrete-workability.
BibTeX@misc{4ortxyz_the-impact-of-data-splitting-methods-on-machine-learning-models-a-case-study-for-predicting-concrete-workability_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{The impact of data splitting methods on machine learning models: A case study for predicting concrete workability}}, year = {2026}, url = {https://4ort.xyz/entity/the-impact-of-data-splitting-methods-on-machine-learning-models-a-case-study-for-predicting-concrete-workability}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): The impact of data splitting methods on machine learning models: A case study for predicting concrete workability — https://4ort.xyz/entity/the-impact-of-data-splitting-methods-on-machine-learning-models-a-case-study-for-predicting-concrete-workability (retrieved 2026-05-24)
