Sensitivity
Overview
The sensitivity of a monitor is a parameter that defines how far a value must deviate before Sifflet flags it as an anomaly. Choosing the right level of sensitivity helps you balance anomaly detection and noise. Higher sensitivity detects smaller deviations but can increase false positives.
How To
Where to Find It
The Monitor Sensitivity setting is available in the Sifflet Monitor Wizard.

How to Use It
Choosing the right sensitivity can help you align the number of alerts to the importance of your data. If you want to monitor only significant events and not smaller movements, lower the sensitivity to avoid false positive alerts. Conversely, if any slight change in your data is critical, increase the sensitivity to capture it.
The illustrations below show how a higher sensitivity level increases the number of data quality issues detected.

Sensitivity: Low

Sensitivity: High
Best Practices
Set the model sensitivity according to your data criticality.
| Data Criticality | Recommended Sensitivity |
|---|---|
| High | High |
| Normal | Normal |
| Low | Low |
Updated 13 days ago

