If you increase the sensitivity, the algorithm is more sensitive to changes in your data. In that case, even a slight deviation is marked as an anomaly. If you decrease the sensitivity, the algorithm is more selective on what it considers an anomaly. reference: https://docs.microsoft.com/en-us/power-bi/visuals/power-bi- visualization-anomaly-detection