Why Naive Bayes Still Outperforms Fancy Models When Data Is Messy
Our fraud detection neural network had 12 layers, 2.3M parameters, and 68% precision. I replaced it with Naive Bayes — 0 layers, 847 parameters, 79% precision. Training time dropped from 4 hours to 11
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