How deeply does Financial AI in Practice cover LIME?

Defines a quick local approximation, without detailing its implementation.

LIME

As explained in Financial AI in Practice

A model-agnostic explanation method that approximates a model locally with an interpretable model around a prediction.

LIME explains an individual model prediction by creating a simple local model that approximates the complex model’s behavior for that applicant. In credit scoring, this supports answering a borrower’s question about a specific decision. section 6.3.1

A credit decision

For one applicant, a local explanation can describe which factors mattered for a borrower with that profile, giving customer service a focused starting point for a conversation. section 6.3.1

How Financial AI in Practice covers it

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Also explained in

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Ensemble Methods for Machine LearningLIME is a model-agnostic explanation technique that approximates individual predictions with an interpretable model fitted near the input being explained.
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Machine Learning System DesignLIME is a model-agnostic explanation technique that approximates a complex model locally around a particular input with a simpler interpretable model.

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Related concepts

model-agnostic methodkind of · A model-agnostic method analyzes predictions or estimates explanations without relying on a model’s internal structure, implementation, or architecture.
local surrogate methodkind of · A local surrogate method explains a black-box model near a particular input by fitting an interpretable approximation to its local behavior.
interpretabilityused by · Interpretability is the degree to which people can understand a model’s behavior, outputs, predictions, or the factors that produce them.
local explanationused by · A local explanation describes how or why a model produced a particular prediction or decision for an individual input.
explainability frameworkused by · An explainability framework is a collection of methods, controls, or tools that helps people understand a model’s outputs or decision process.

This explainer was generated by Manning's knowledge graph from the text of Financial AI in Practice. The section links point to the parts of the book it draws on.