DGA SGD Detector
This model was trained on the asobirov/dga-preprocessed dataset using:
- HashingVectorizer (char 2–5 grams, 2**20 hash buckets)
- SGDClassifier with online
partial_fitand incremental learning-rate tuning - Lightweight stats: length, digit ratio, Shannon entropy
- Streaming training on ~5 M domains, evaluated on ~1 M test domains from harpomaxx/dga-detection and YangYang-Research/dga-detection
- Decision threshold optimized for F1 (=0.0794) yielding 85.7% accuracy, 83.6% DGA recall
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