Neural network vs logistic regression
A neural network is more powerful — but is it better? Compare architectures against a simple LogisticRegression baseline on the same test set.
Neural Network
Confusion Matrix
Logistic Regression (baseline)
Confusion Matrix
AUC comparison
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Think Deeper
Try this:
The neural network and logistic regression have similar AUC. Which would you deploy in a production SOC?
Deploy LogisticRegression. Same performance, but simpler: faster inference, easier to explain to analysts, fewer things to break. Only use neural nets when they clearly outperform the baseline.
Cybersecurity tie-in: In real SOC deployments, simpler models win on tabular data.
LogisticRegression and Random Forest are fast, explainable, and easy to maintain.
Neural networks shine on unstructured data (images, text, raw bytes) — not CSV logs.