MODEL INTERPRETABILITY AND EXPLANATION
Understand and Explain Model Decisions
Search and retrieve relevant information from the underlying data used to train their models. By gaining insights into the contributing factors and patterns within the data, Data Science teams can effectively interpret and explain their models' decisions, increasing transparency, trust, and facilitating collaboration with stakeholders.