SN System Properties Reference
Property reference

sn_app_insights.p1_predict_threshold

Sets the minimum confidence the p1 predict model requires before predicting a p1 alert state. At the default value of 90, the model needs confidence of at least 90; raising the threshold makes p1 predictions less likely, while lowering it makes them easier to trigger.

Default
90
Type
integer
Application
Not stated

Key questions about this property

The answers below summarize the purpose, scope, default effect, and review scenarios for this property.

What does it do? Requires the p1 predict model to meet this minimum confidence threshold before predicting a p1 alert state.
What area does it affect? P1 alert prediction
What does the default mean? The default value is "90", which sets the baseline numeric behavior for this property.
When should you review it? When adjusting how much confidence the model needs before predicting a p1 alert state.

Property record

Facts stated in the ServiceNow documentation. No out of the box record has been read from an instance yet.

Property name sn_app_insights.p1_predict_threshold
Type integer
Application Not stated
Default value 90
Description The minimum confidence required for the p1 predict model to predict a p1 alert state.

Sources

Official references and nearby text excerpts where this property appears.

Brazil docs Available system properties ↗
Context preview Snippet 1
... • Type: Integer • Default value: 923 sn_app_insights.p1_predict_max_cooldown The number of consecutive "no p1 predicted” minutes required to exit the p1 alert state. • Type: String • Default value: 5 sn_app_insights.p1_predict_threshold The minimum confidence required for the p1 predict model to predict a p1 alert state. • Type: Integer • Default value: 90 sn_bm_client.dashboard_display_unit Time unit to use for KPI values ...
Additional source link Another external reference for this property
Open reference

More in sn_app_insights

Other properties in the same namespace.

sn_app_insights.minutes_between_triggers Specifies how many minutes to wait before sending a notification for an identical metric trigger; the default sn_app_insights.p1_predict_factor.semaphores Sets the normalization factor applied to semaphore metric data used by the P1 prediction model; the default is sn_app_insights.p1_predict_factor.sys_load Defines the factor used to normalize sys_load metric data for the P1 prediction model. sn_app_insights.p1_predict_max_cooldown Specifies the consecutive minutes with no P1 prediction required before the P1 prediction model exits its aler

All 5 properties in sn_app_insights →