Mini toolsDefinition
A technique that explains individual predictions by creating a simpler, interpretable model around a specific data point.
Detailed Explanation
Local Interpretable Model-agnostic Explanations creates a local linear approximation of the model’s behavior around a specific instance, helping understand why particular decisions were made. It works by perturbing the input and analyzing how predictions change.
Use Cases
Text classification explanation, image recognition interpretation, product recommendation justification
