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Kudos AI

Anomaly Detection

A detector that never fires scores 99.5% accuracy, a ROC of 0.9468 hides an alert queue that is 64% false, distance from the mean scores below chance when the anomalies sit at the centre, and twenty anomalies that group together hide each other from the method built to find them.

Intermediate330 XP~1 h90% to advance

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  1. What Accuracy Hides

    25 min · 100 XP

    At a 0.5% base rate the do-nothing detector wins on accuracy, ROC reports 0.9468 for a model whose top hundred alerts are 64% false, and precision@k is the only number that describes the queue somebody has to work through.

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  2. Distance, Density and Isolation

    30 min · 120 XP

    Four detectors on data with two kinds of anomaly: distance from the centre scores below chance, an axis-parallel splitter never sees the gap, and the local method is defeated by anomalies that group together.

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  3. Thresholds, Alerts and Drift

    28 min · 110 XP

    A threshold set from the cost of a miss against the cost of a false alarm rather than from a quantile, and the measurement showing that a fixed threshold reprices the alert queue whenever the anomaly rate moves.

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Complete all modules → earn the Anomaly Detection badge