An informational string describing the technique used by the model designer to establish the baseline scores. Allowed
values are:
- max: Indicates that baseline scores are the maximum partial score in element Characteristic
- min: Baseline scores are the minimum partial score in Characteristic
- mean: Baseline scores are the mean (weighted average) partial score in Characteristic
- neutral: Baseline scores are the risk-neutral partial score in Characteristic
- other: Baseline scores are derived using any other technique.
This attribute is purely informational and does not influence the runtime calculations of reason codes. (By contrast,
the reasonCodeAlgorithm is critical to achieving an accurate calculation of reasons.)
Linear Supertypes
Enumeration, Serializable, Serializable, AnyRef, Any
An informational string describing the technique used by the model designer to establish the baseline scores. Allowed values are: - max: Indicates that baseline scores are the maximum partial score in element Characteristic - min: Baseline scores are the minimum partial score in Characteristic - mean: Baseline scores are the mean (weighted average) partial score in Characteristic - neutral: Baseline scores are the risk-neutral partial score in Characteristic - other: Baseline scores are derived using any other technique.
This attribute is purely informational and does not influence the runtime calculations of reason codes. (By contrast, the reasonCodeAlgorithm is critical to achieving an accurate calculation of reasons.)