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Model Explainability using SHAP Values for LightGBM Predictions
Research article (2021 IEEE XVIIth International Conference on the Perspective Technologies and Methods in MEMS Design (MEMSTECH), 2021) · cited 19× · AI/ML
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APA4ort.xyz Knowledge Graph. (2026). Model Explainability using SHAP Values for LightGBM Predictions. Retrieved May 24, 2026, from https://4ort.xyz/entity/model-explainability-using-shap-values-for-lightgbm-predictions
MLA“Model Explainability using SHAP Values for LightGBM Predictions.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/model-explainability-using-shap-values-for-lightgbm-predictions.
BibTeX@misc{4ortxyz_model-explainability-using-shap-values-for-lightgbm-predictions_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Model Explainability using SHAP Values for LightGBM Predictions}}, year = {2026}, url = {https://4ort.xyz/entity/model-explainability-using-shap-values-for-lightgbm-predictions}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Model Explainability using SHAP Values for LightGBM Predictions — https://4ort.xyz/entity/model-explainability-using-shap-values-for-lightgbm-predictions (retrieved 2026-05-24)