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The power of error analysis, tree models for search relevancy, what ChatGPT means for data scientists - Sergey Feldman - The Data Scientist Show #059
The Data Scientist Show
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The ML model could be predictive, but if it's not properly integrated into a person's actual real stressful life, they're not going to use it. So we fit a complex pipeline that would take the shap values and then cluster them together to give you profiles of types of risky kids. And then the practitioners who know what they're talking about would analyze these clusters in the paper. And they would have phenotypes of risky children. We had a close collaboration between the ML tooling and the professionals interpreting it. And I think that's what made it successful.
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