Interpreting predictive models with Skater: Unboxing model opacity
O'Reilly Media - Data
MARCH 22, 2018
There is often a need to verify the reasoning of such ML systems to hold algorithms accountable for the decisions predicted. There is also a trade off in balancing a model’s interpretability and its performance. A deep dive into model interpretation as a theoretical concept and a high-level overview of Skater.
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