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bitnovus/jev-spam-eval

Asks how far a written decision rule gets you before you need a labeled training set. On 18,514 emails a written definition of spam scored 98.3% against 98.4% for TF-IDF logistic regression, and averaging both scores reached 99.2%. Also covers learning curves and distribution shift.

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PrimitivesNoul

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