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A: z/IQR on Amount and the strongest features. B: compare each hour with the same hour/weekday history, or with the S12 forecast residual. Concepts: Thresholds; distribution assumptions; contextual baselines; residual-based detection Project A: Amount-based rules catch few frauds → motivates multivariate methods. Project B: Residual z-score from the supervised forecaster is the best simple detector for load.
Builds on: E05 · Build: Univariate Analysis — Numerical Features, E08 · Build: Outliers, Anomalies & Robustness