Surprising Features
Jon and Kyle discuss the features that were unexpectedly helpful or unhelpful in solving the affinity problem, highlighting the importance of login-based features and historical activity. They also touch upon the limitations of overfitting data and the paradox of choice in machine learning.In this clip
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Data Skeptic
Data Science at eHarmony
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