Deterministic Local Interpretable Model-Agnostic Explanations for Stable Explainability

Deterministic Local Interpretable Model-Agnostic Explanations for Stable Explainability

Local Interpretable Model-Agnostic Explanations (LIME) is a popular technique used to increase the interpretability and explainability of black box Machine Learning (ML) algorithms. LIME typically creates an explanation for a single prediction by any ML model by learning a simpler interpretable mode...

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Bibliographic Details
Main Authors: Muhammad Rehman Zafar, Naimul Khan
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Machine Learning and Knowledge Extraction
Subjects:
explainable artificial intelligence (XAI)
interpretable machine learning
stable explanations
deterministic explanations
local explanations
model agnostic explanations
Online Access:https://www.mdpi.com/2504-4990/3/3/27

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https://www.mdpi.com/2504-4990/3/3/27

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