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A spam filter that never catches a single spam message would still score 87.4 percent accuracy on my dataset. That one fact shaped this whole assignment. I built two classifiers for SMS spam: logistic regression and multinomial Naive Bayes. I tra (More)
Naive Bayes assumes every feature is independent. For spam detection, that's provably false — words in a sentence are obviously correlated. The model works well anyway. Figuring out why a wrong assumption still produces a right answer taught me (More)