Linear Algebra
AI Infrastructure
A technique that explains individual predictions by creating a simpler, interpretable model around a specific data point.
Detailed Explanation
LIME (Local Interpretable Model-agnostic Explanations) is a technique used to interpret complex machine learning models by approximating their predictions locally with a simpler, interpretable model. It analyzes a specific data point, perturbs the data around it, and observes changes in the model's output to understand which features influence the prediction, enhancing transparency and trust in AI systems.
Use Cases
- •Use case: Explaining why a loan application was approved or denied to help applicants understand the decision.
Related Terms
Other terms in the AI Infrastructure category