Difference between revisions of "Scorecard"
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== Definition == | == Definition == | ||
| − | '''Scorecard''' | + | '''Scorecard''' is a standardized [[Risk Model]]. This entry serves as the [[Abstract Risk Model]] specification of a standardized [[Predictive Model]] in the [[Risk Model Ontology]] |
| − | + | == Model Use Context == | |
| − | |||
| − | == Model Context == | ||
| + | * [[Risk Analysis]] | ||
| + | * [[Risk Acceptance]] | ||
== Model Classification == | == Model Classification == | ||
| + | Generalized Linear Model | ||
== Model Description == | == Model Description == | ||
| − | + | * A scorecard is comprised of a set of [[Characteristic | characteristics]]. These can be either a [[Categorical Variable]] or [[Numerical Variable]]. The model defines a point allocation for each scorecard characteristic. | |
| + | * Once point allocation between input attributes and partial scores takes place, each scorecard characteristic is assigned a single partial score which is used to compute the overall score. | ||
| + | * The overall score is simply the sum of all partial scores. | ||
| + | * Partial scores are assumed to be continuous values of type "double". | ||
=== Response Variables === | === Response Variables === | ||
| Line 17: | Line 21: | ||
=== Explanatory Variables === | === Explanatory Variables === | ||
| − | + | * The explanatory variables of a scorecard are its [[Characteristic]] | |
| + | * In the case of binned or categorical variables, the possible values of each characteristic are termed [[Attribute]] | ||
=== Model Parameters === | === Model Parameters === | ||
| + | N/A | ||
=== The Functional Form === | === The Functional Form === | ||
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== See Also == | == See Also == | ||
| − | * [http://dmg.org/pmml/v4-4-1/ | + | * [http://dmg.org/pmml/v4-4-1/Scorecard.html PMML Scorecard] |
| + | * [[Scorecards]] | ||
{{#set: isDefinedBy | https://www.openriskmanual.org/ns/doam# }} | {{#set: isDefinedBy | https://www.openriskmanual.org/ns/doam# }} | ||
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[[Category:Machine Learning]] | [[Category:Machine Learning]] | ||
[[Category:Predictive Models]] | [[Category:Predictive Models]] | ||
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Latest revision as of 19:54, 11 March 2024
Contents
Definition
Scorecard is a standardized Risk Model. This entry serves as the Abstract Risk Model specification of a standardized Predictive Model in the Risk Model Ontology
Model Use Context
Model Classification
Generalized Linear Model
Model Description
- A scorecard is comprised of a set of characteristics. These can be either a Categorical Variable or Numerical Variable. The model defines a point allocation for each scorecard characteristic.
- Once point allocation between input attributes and partial scores takes place, each scorecard characteristic is assigned a single partial score which is used to compute the overall score.
- The overall score is simply the sum of all partial scores.
- Partial scores are assumed to be continuous values of type "double".
Response Variables
Explanatory Variables
- The explanatory variables of a scorecard are its Characteristic
- In the case of binned or categorical variables, the possible values of each characteristic are termed Attribute
Model Parameters
N/A
