cloch001 wrote: 97% Accurate and Still Missing Spam
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) | |
cloch001 wrote: Linear Algebra Behind for Cybersecurity ML Models
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) |