When you add an anomaly detection monitor from Explorer without manually editing the monitor, the monitor uses default settings based on the metric type. Note that Compare metrics (Compare aggregates, Row by row) only support manual thresholds, which do not have defaults. Also note that default training periods depend on whether the metric has seasonality.

Aggregation metric

Option	Default setting
Symptom to detect	Value out of Expectations
Feature	Value
Compare against	N/A
Bounds	tolerance interval
Account for trend	Disabled
Forecasting	Disabled
Training period (no seasonality)	Default training periods include the most recent data collection, and extend into the past based on the metric's Aggregation Interval or Polling Interval: If the interval is Hourly or shorter, training period is one week If the interval is Daily, training period is 30 days If the interval is Weekly, training period is 120 days If the interval is Monthly or longer, training period is 15 intervals
Training period (seasonal)	Default training period includes the most recent data collection, and extends 15 season periods into the past.
Drift duration	0s (zero seconds)
Recovery duration	Equal to the Aggregation Interval or Polling Interval
Aggressiveness	1
Drift direction	Both
Incident learning	Enabled

Conformity metrics

Option	Default setting
Symptom to detect	Value out of Expectations
Feature	Value
Compare against	N/A
Bounds	tolerance interval
Account for trend	Disabled
Forecasting	Disabled
Training period (no seasonality)	Default training periods include the most recent data collection, and extend into the past based on the metric's Aggregation Interval or Polling Interval: If the interval is Hourly or shorter, training period is one week If the interval is Daily, training period is 30 days If the interval is Weekly, training period is 120 days If the interval is Monthly or longer, training period is 15 intervals
Training period (seasonal)	Default training period includes the most recent data collection, and extends 15 season periods into the past.
Drift duration	0s (zero seconds)
Recovery duration	Equal to the Aggregation Interval or Polling Interval
Aggressiveness	1
Drift direction	Both
Incident learning	Enabled

Custom SQL metrics

Option	Default setting
Symptom to detect	Value out of Expectations
Feature	Value
Compare against	N/A
Bounds	tolerance interval
Account for trend	Disabled
Forecasting	Disabled
Training period (no seasonality)	Default training periods include the most recent data collection, and extend into the past based on the metric's Aggregation Interval or Polling Interval: If the interval is Hourly or shorter, training period is one week If the interval is Daily, training period is 30 days If the interval is Weekly, training period is 120 days If the interval is Monthly or longer, training period is 15 intervals
Training period (seasonal)	Default training period includes the most recent data collection, and extends 15 season periods into the past.
Drift duration	0s (zero seconds)
Recovery duration	Equal to the Aggregation Interval or Polling Interval
Aggressiveness	1
Drift direction	Both
Incident learning	Enabled

Data delay metrics

Option	Default setting
Symptom to detect	Value out of Expectations
Feature	Value
Compare against	N/A
Bounds	tolerance interval
Account for trend	Disabled
Forecasting	Disabled
Training period (no seasonality)	Default training period includes the data collection window one week before the most recent window.
Training period (seasonal)	Default training period includes the most recent data collection, and extends 15 season periods into the past.
Drift duration	0s (zero seconds)
Recovery duration	1h (one hour)
Aggressiveness	5
Drift direction	Up
Incident learning	Enabled

Data volume metrics

Option	Default setting
Symptom to detect	Value out of Expectations
Feature	Percentage change
Compare against	Last sample
Bounds	tolerance interval
Account for trend	Enabled
Forecasting	Disabled
Training period (no seasonality)	Default training periods include the most recent data collection, and extend into the past based on the metric's Aggregation Interval or Polling Interval: If the interval is Hourly or shorter, training period is one week If the interval is Daily, training period is 30 days If the interval is Weekly, training period is 120 days If the interval is Monthly or longer, training period is 15 intervals
Training period (seasonal)	Default training period includes the most recent data collection, and extends 15 season periods plus one aggregation/polling interval into the past.
Drift duration	0s (zero seconds)
Recovery duration	Equal to the Aggregation Interval or Polling Interval
Aggressiveness	7
Drift direction	Down
Incident learning	Enabled

Distribution metrics

Option	Default setting
Symptom to detect	Value out of Expectations
Feature	Value
Compare against	N/A
Bounds	tolerance interval
Account for trend	Disabled
Forecasting	Disabled
Training period (no seasonality)	Default training periods include the most recent data collection, and extend into the past based on the metric's Aggregation Interval or Polling Interval: If the interval is Hourly or shorter, training period is one week If the interval is Daily, training period is 30 days If the interval is Weekly, training period is 120 days If the interval is Monthly or longer, training period is 15 intervals
Training period (seasonal)	Default training period includes the most recent data collection, and extends 15 season periods into the past.
Drift duration	0s (zero seconds)
Recovery duration	Equal to the Aggregation Interval or Polling Interval
Aggressiveness	1
Drift direction	Both
Incident learning	Enabled

Null percent metrics

Option	Default setting
Symptom to detect	Value out of Expectations
Feature	Value
Compare against	N/A
Bounds	tolerance interval
Account for trend	Disabled
Forecasting	Disabled
Training period (no seasonality)	Default training periods include the most recent data collection, and extend into the past based on the metric's Aggregation Interval or Polling Interval: If the interval is Hourly or shorter, training period is one week If the interval is Daily, training period is 30 days If the interval is Weekly, training period is 120 days If the interval is Monthly or longer, training period is 15 intervals
Training period (seasonal)	Default training period includes the most recent data collection, and extends 15 season periods into the past.
Drift duration	0s (zero seconds)
Recovery duration	Equal to the Aggregation Interval or Polling Interval
Aggressiveness	1
Drift direction	Both
Incident learning	Enabled

Row count/Byte count metrics

Option	Default setting
Symptom to detect	Value out of Expectations
Feature	Percentage change
Compare against	N/A
Bounds	tolerance interval
Account for trend	Enabled
Forecasting	Disabled
Training period (no seasonality)	Default training periods include the most recent data collection, and extend into the past based on the metric's Aggregation Interval: If Aggregation Interval is Hourly or shorter, training period is one week plus one aggregation interval If Aggregation Interval is Daily, training period is 31 days If Aggregation Interval is Weekly, training period is 127 days If Aggregation Interval is Monthly or longer, training period is 16 aggregation intervals
Training period (seasonal)	Default training period includes the most recent data collection, and extends 15 season periods plus one aggregation interval into the past.
Drift duration	0s (zero seconds)
Recovery duration	Equal to the Aggregation Interval
Aggressiveness	7
Drift direction	Down
Incident learning	Enabled

Update delay metrics

Option	Default setting
Symptom to detect	Value out of Expectations
Feature	Value
Compare against	N/A
Bounds	tolerance interval
Account for trend	Disabled
Forecasting	Disabled
Training period (no seasonality)	Default training periods include the most recent data collection, and extend into the past based on the metric's Aggregation Interval: If Aggregation Interval is Hourly or shorter, training period is one week If Aggregation Interval is Daily, training period is 30 days If Aggregation Interval is Weekly, training period is 120 days If Aggregation Interval is Monthly or longer, training period is 15 * Aggregation Interval
Training period (seasonal)	Default training period includes the most recent data collection, and extends 15 season periods into the past.
Drift duration	0s (zero seconds)
Recovery duration	Equal to the Aggregation Interval
Aggressiveness	5
Drift direction	Up
Incident learning	Enabled