Shichao Ma, Applied Scientist
- Dec 17, 2020
Many machine learning (ML) practitioners use partial dependence plots (PDP) to gain insights into model behaviors. But have you run into situations where PDPs average two groups with different behaviors and produce curves applicable to none? Are you longing for tools that help you understand detailed model behavior in a visually manageable way? Look no further! We are thrilled to share with you our newest model interpretation tools: the Nearby Individual Conditional Expectation plot and its companion, the Partial Dependence at Quantiles plot. They highlight local behaviors and hint at how much we may trust such readings. A not NICE...