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Anomaly Detection

For every analysis which is a time series, Kubit's anomaly detection engine automatically calls out outliers as red dots on the chart.

  • Behind the scenes, the machine learning algorithm builds the model based on historical data to consider seasonalities, skip known incidents and reduce false alarms.
  • Mouse-over shows the Z-score of the incident data points compared to the predicted values.

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