Role of SHAP and LIME in XAI

In a high-tech kitchen, you have an advanced oven that's designed to perfectly bake any recipe you input. You select the recipe, adjust some basic settings, and the oven uses its internal algorithms to adjust cooking times, temperatures, and even humidity levels to ensure the dish comes out perfectly. However, the specific adjustments and calculations it makes are not visible to you, and you cannot directly influence or understand these internal processes.

Imagine you wanted to understand how different ingredients or settings influenced the final dish. You decide to use techniques similar to LIME and SHAP in machine learning to gain insights. How would you apply methods similar to LIME and SHAP to uncover the influence of individual ingredients or settings on the final dish?