Labelled Anomalies: Precision & Recall at Each Threshold (with a Chart)
This lesson is part of the course
In this lesson
You score a detector against labelled incidents: TP and FP per threshold, precision, recall, F1, the best threshold and the trade-off curve.
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Lessons in this course
- Z-Score Flags: How Far from Normal Is a Transaction? Locked
- Robust Z-Scores with the Median & MAD Locked
- IQR Fences: Box-Plot Outliers in Server Latency Locked
- Rolling Mean ± k·σ Bands for a Live Metric (with a Chart) Locked
- Seasonal Baselines: Same Hour, Last Weeks Locked
- Multivariate Outliers: Standardised Distance (Mahalanobis-Lite) Locked
- Labelled Anomalies: Precision & Recall at Each Threshold (with a Chart) Locked
- Alert Fatigue & Cost: Choosing the Threshold Locked