Anomaly Detection — Tiktok
Uses Isolation Forest to detect statistically anomalous profiles — works even without labeled training data.
How does Anomaly Detection work?
Isolation Forest identifies profiles that are statistically unusual — e.g., accounts with
extreme follower/following ratios, suspicious bio patterns, or unusual posting frequencies.
Unlike the main classifier, no training labels are needed.
Higher anomaly score = more suspicious.