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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

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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.

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:

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  • 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.







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