Difference between revisions of "Scorecard"

From Open Risk Manual
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[[Category:Machine Learning]]
 
[[Category:Machine Learning]]
 
[[Category:Predictive Models]]
 
[[Category:Predictive Models]]
[[Category:Risk Model Ontology]]
 

Revision as of 13:20, 8 November 2021

Definition

Scorecard

This entry serves as the Abstract Risk Model specification of a standardized Predictive Model in the Risk Model Ontology

Model Context

Model Classification

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

The Functional Form

Model Estimation

Stylized Model Assumptions

See Also