Interpreting Predictions from Complex Models

Interpreting Predictions from Complex Models

Presented By Scott Lundberg
Scott Lundberg
Scott Lundberg
PhD Researcher at University of Washington

Scott Lundberg is a Ph.D. candidate at the University of Washington's Paul Allen School of Computer Science and Engineering, working with Professor Su-In Lee at the intersection of machine learning and health/biology. Before coming to UW he received his B.S and M.S from Colorado State University in 2008, and then worked as a research scientist for five years with Numerica Corporation. Scott is currently supported by a NSF Graduate Research Fellowship, and is seeking to improve health and medicine through AI.

Presentation Description

With large modern datasets the best accuracy is often achieved by complex models even experts struggle to interpret. Here, we present a unified framework for interpreting predictions, namely SHAP (SHapley Additive exPlanations)

Presentation Curriculum

Interpreting Predictions from Complex Models
39:22
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