Logistic Regression Beats GPT-2 at Spam Slaying — Here's Why Simpler Wins Dirty Fights
Your inbox is a warzone, spam the invaders. A fresh benchmark pits ancient logistic regression against GPT-2 — and the underdog draws blood.
⚡ Key Takeaways
- Logistic regression outperforms GPT-2 on imbalanced spam detection due to its precision on blunt signals.
- Accuracy is a trap; prioritize F1-score and PR-AUC for real-world tasks.
- Pairing spam classifiers with sentiment analysis unlocks richer insights for evolving threats.
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Originally reported by Towards AI