Unverified50% confidenceFactExact time
TF-IDF represents each email as a sparse vector weighted by term frequency and inverse document frequency; logistic regression is a linear classifier that outputs class probabilities by learning a weight for each word feature; when label volume is limited, this combination has few parameters, is not prone to overfitting, trains and infers quickly, and has interpretable weights.
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10/26/2026
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