Home › Entities › academia › Prediction of Biodiesel Yield Employing Machine Learning: Interpretability Analysis via Shapley Additive Explanations

Prediction of Biodiesel Yield Employing Machine Learning: Interpretability Analysis via Shapley Additive Explanations

Research article (Fuel, 2023) · cited 57× · AI/ML
academia openalex:W4389263250
Press Enter · cited answer in seconds

Prediction of Biodiesel Yield Employing Machine Learning: Interpretability Analysis via Shapley Additive Explanations

Summary

Prediction of Biodiesel Yield Employing Machine Learning: Interpretability Analysis via Shapley Additive Explanations is a scholarly article[1].

Key Facts

  • Prediction of Biodiesel Yield Employing Machine Learning: Interpretability Analysis via Shapley Additive Explanations's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

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.

APA 4ort.xyz Knowledge Graph. (2026). Prediction of Biodiesel Yield Employing Machine Learning: Interpretability Analysis via Shapley Additive Explanations. Retrieved May 24, 2026, from https://4ort.xyz/entity/prediction-of-biodiesel-yield-employing-machine-learning-interpretability-analysis-via-shapley-additive-explanations
MLA “Prediction of Biodiesel Yield Employing Machine Learning: Interpretability Analysis via Shapley Additive Explanations.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/prediction-of-biodiesel-yield-employing-machine-learning-interpretability-analysis-via-shapley-additive-explanations.
BibTeX @misc{4ortxyz_prediction-of-biodiesel-yield-employing-machine-learning-interpretability-analysis-via-shapley-additive-explanations_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Prediction of Biodiesel Yield Employing Machine Learning: Interpretability Analysis via Shapley Additive Explanations}}, year = {2026}, url = {https://4ort.xyz/entity/prediction-of-biodiesel-yield-employing-machine-learning-interpretability-analysis-via-shapley-additive-explanations}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Prediction of Biodiesel Yield Employing Machine Learning: Interpretability Analysis via Shapley Additive Explanations — https://4ort.xyz/entity/prediction-of-biodiesel-yield-employing-machine-learning-interpretability-analysis-via-shapley-additive-explanations (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/prediction-of-biodiesel-yield-employing-machine-learning-interpretability-analysis-via-shapley-additive-explanations · Last refreshed: