Enhancing trust and interpretability of complex machine learning models using local interpretable model agnostic shap explanations

Research article (International Journal of Data Science and Analytics, 2023) · cited 84× · AI/ML
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Enhancing trust and interpretability of complex machine learning models using local interpretable model agnostic shap explanations

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Enhancing trust and interpretability of complex machine learning models using local interpretable model agnostic shap explanations is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Enhancing trust and interpretability of complex machine learning models using local interpretable model agnostic shap explanations. Retrieved May 24, 2026, from https://4ort.xyz/entity/enhancing-trust-and-interpretability-of-complex-machine-learning-models-using-local-interpretable-model-agnostic-shap-ex
MLA “Enhancing trust and interpretability of complex machine learning models using local interpretable model agnostic shap explanations.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/enhancing-trust-and-interpretability-of-complex-machine-learning-models-using-local-interpretable-model-agnostic-shap-ex.
BibTeX @misc{4ortxyz_enhancing-trust-and-interpretability-of-complex-machine-learning-models-using-local-interpretable-model-agnostic-shap-ex_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Enhancing trust and interpretability of complex machine learning models using local interpretable model agnostic shap explanations}}, year = {2026}, url = {https://4ort.xyz/entity/enhancing-trust-and-interpretability-of-complex-machine-learning-models-using-local-interpretable-model-agnostic-shap-ex}, note = {Accessed: 2026-05-24}}
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