#logistic regression

Active learning lets models query the most informative unlabeled samples for labeling, enabling high accuracy with far fewer annotations; this tutorial simulates a 20-query scenario using sklearn.

'Compact hybrid detector that combines regex rules and TF-IDF-powered ML to catch jailbreak prompts while preserving legitimate requests.'