Model tab > Generalized Regression

Intended audience: END-USERS DEVELOPERS

AO Platform: 4.3

Generalized Regression

The Model tab generally includes one or more of the following sections:

Data Fields - these are the data field configuration properties mandatory for the model to execute.
Model Specific Configurations - configuration properties in this section will vary depending on the selected model. If the model does not require additional configuration, the section(s) will not be shown.

Configuration

Properties

Label	UI	Default	Description
Data Fields
Output Type	Dropdown	Continuous - Normal	Specifies the statistical distribution of the output based on the nature of the data. Available options include: Continuous: Normal, Student-T, or Gamma Count: Poisson or Negative Binomial Binary: 0 or 1 Proportion: fractional values using a numerator and denominator Each type is designed to align with the expected range and behavior of the output variable for accurate modeling.
Output Field	Dropdown w/Expression		The Output Field is the target variable the model aims to predict or estimate. Its values are determined by the selected Output Type and distribution, guiding how the model interprets and forecasts outcomes based on the input data. This property is shown when the Output Type property is one of the following: Continuous, Count, or Binary.
Successful Events (Numerator)	Dropdown w/Expression		The Numerator shall always be less than the Denominator. This property is shown when the Output Type property is: Proportion.
Total Events (Denominator)	Dropdown w/Expression		The Denominator shall always be greater than the Numerator. This property is shown when the Output Type property is: Proportion.
Entity ID	Dropdown w/Expression		A unique identifier for each record (eg, Customer ID, Employee ID) used to distinguish individual entities within the dataset.
Category Field	Dropdown w/Expression		Represents non-numeric groupings (eg, Product Type, Customer Segment) used to compare differences across multiple samples.
Preview Model Data	Button		Opens a dialog to view the data that will be used by the model. See Model > Model tab \| Preview-Model-Data-Dialog.
Effects (Covariates)	Repeater section		Lists additional variables that may influence the primary outcome, used to adjust or enrich the analysis.
Covariate Fields	Dropdown w/Expression		Select one or more Field Properties as Covariates.
Time Series Field	Dropdown w/Expression		Select one or more Time Series Field Properties as Covariates.
Criteria	Field w/Filter		Add a Filter on the Covariate data configured using the Query Builder dialog.
Additional Field Properties	Icon		Opens the Additional Properties dialog, allowing the user to enter a Display Name for the selected Covariate Field:
Preview	Button
Model Configuration
Confidence Score	Number field	0.95	Represents the range in which the true prediction is expected to fall, based on a chosen confidence level. For example, a 0.95 value means there’s a 95% chance the actual value lies within that range. Users can adjust the Confidence Score in the range from 0.9 to 0.99, with higher levels widening the interval to reflect greater certainty.
Rules for Adding to Insights Feed Page from Scheduler	Radio-buttons	Always Add	This section allows the user to select if the Quick Insight will be added to the Insights Feed page when generated from a Scheduled Task. See Model > Model tab \| Rules-for-Adding-Insights-Feed-Page-from-Scheduler.

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