Lime: Explaining the predictions of any machine learning classifier
At the moment, we support explaining individual predictions for text classifiers or classifiers that act on tables (numpy arrays of numerical or categorical data) or images, with a package called …
LIME - Local Interpretable Model-Agnostic Explanations
Apr 2, 2016 · In this post, we'll talk about the method for explaining the predictions of any classifier described in this paper, and implemented in this open source package. Motivation: …
Explainable AI (XAI) Using LIME - GeeksforGeeks
Jul 23, 2025 · Though LIME limits itself to supervised Machine Learning and Deep Learning models in its current state, it is one of the most popular and used XAI methods out there.
Local Interpretable Model-agnostic Explanations
Local interpretable model-agnostic explanations (LIME) [1] is a method that fits a surrogate glassbox model around the decision space of any blackbox model’s prediction.
Using LIME in machine learning: how to interpret and explain ...
Apr 30, 2024 · LIME is a method designed to explain the predictions of any machine learning model. It enables the creation of locally interpretable models around a specific example of data.
Unlocking LIME in Machine Learning - numberanalytics.com
Jun 14, 2025 · LIME, or Local Interpretable Model-agnostic Explanations, is a technique used to interpret the predictions of complex machine learning models. The primary purpose of LIME is …
LIME: How to Interpret Machine Learning Models With Python
Nov 27, 2020 · In a nutshell, LIME is used to explain predictions of your machine learning model. The explanations should help you to understand why the model behaves the way it does. If the …
14 LIME – Interpretable Machine Learning - Christoph Molnar
Local interpretable model-agnostic explanations (LIME), proposed by Ribeiro, Singh, and Guestrin (2016), is an approach for fitting surrogate models. Surrogate models are trained to …
A Beginner Guide to LIME for Explaining Machine Learning Models
LIME, or Local Interpretable Model-agnostic Explanations, provides a robust solution by offering insights into the predictions made by machine learning models, thus promoting accountability …
How Does LIME Explain Machine Learning Predictions?
Jun 26, 2025 · LIME stands as a powerful ally in the quest for interpretability in machine learning models. By focusing on local explanations, it bridges the gap between complex predictions …