Scorecard
A data mining model contains a set of input fields which are used to predict a certain target value. This prediction can be seen as an assessment about a prospect, a customer, or a scenario for which an outcome is predicted based on historical data. In a scorecard, input fields, also referred to as characteristics (for example, "age"), are broken down into attributes (for example, "19-29" and "30-39" age groups or ranges) with specific partial scores associated with them. These scores represent the influence of the input attributes on the target and are readily available for inspection. Partial scores are then summed up so that an overall score can be obtained for the target value.
Scorecards are very popular in the financial industry for their interpretability and ease of implementation, and because input attributes can be mapped to a series of reason codes which provide explanations of each individual's score. Usually, the lower the overall score produced by a scorecard, the higher the chances of it triggering an adverse decision, which usually involves the referral or denial of services. Reason codes, as the name suggests, allow for an explanation of scorecard behavior and any adverse decisions generated as a consequence of the overall score. They basically answer the question: "Why is the score low, given its input conditions?"
Value members
Concrete methods
Creates an object of subclass of ModelOutputs that is for writing into an output series.
Creates an object of subclass of ModelOutputs that is for writing into an output series.
- Definition Classes
The scoring procedure for a scorecard is simple. Partial scores are summed up to create an overall score, the result of the scorecard.
The scoring procedure for a scorecard is simple. Partial scores are summed up to create an overall score, the result of the scorecard.
- Definition Classes
- Model -> Predictable
Inherited methods
Returns class labels of the specified target.
Returns class labels of the specified target.
- Inherited from:
- Model
Returns PMML version as a double value
Returns PMML version as a double value
- Inherited from:
- HasVersion
Returns the field of a given name.
Returns the field of a given name.
- Throws:
- FieldNotFoundException
if a field with the given name does not exist
- Inherited from:
- HasField
Get fields by its usage type: 'active', 'target', 'predicted', 'group' and so on
Get fields by its usage type: 'active', 'target', 'predicted', 'group' and so on
- Inherited from:
- Model
The sub-classes can override this method to provide classes of target inside model.
The sub-classes can override this method to provide classes of target inside model.
- Inherited from:
- Model
Tests if this is a association rules model.
Tests if this is a association rules model.
- Inherited from:
- HasModelAttributes
Tests if this is a classification model.
Tests if this is a classification model.
- Definition Classes
- Inherited from:
- Model
Tests if this is a classification model of the specified target, it's applicable for multiple targets.
Tests if this is a classification model of the specified target, it's applicable for multiple targets.
- Inherited from:
- Model
Tests if this is a clustering model.
Tests if this is a clustering model.
- Inherited from:
- HasModelAttributes
Tests if the target is an ordinal field
Tests if the target is an ordinal field
- Inherited from:
- Model
Tests if this is a regression model.
Tests if this is a regression model.
- Definition Classes
- Inherited from:
- Model
Tests if this is a regression model of the specified target, it's applicable for multiple targets.
Tests if this is a regression model of the specified target, it's applicable for multiple targets.
- Inherited from:
- Model
Tests if this is a sequences model.
Tests if this is a sequences model.
- Inherited from:
- HasModelAttributes
Tests if this is a time series model.
Tests if this is a time series model.
- Inherited from:
- HasModelAttributes
Returns the number of class labels of the specified target.
Returns the number of class labels of the specified target.
- Inherited from:
- Model
Returns optype of the specified target.
Returns optype of the specified target.
- Inherited from:
- Model
Predicts one or multiple records in json format, there are two formats supported:
Predicts one or multiple records in json format, there are two formats supported:
- ‘records’ : list like [{column -> value}, … , {column -> value}]
- ‘split’ : dict like {‘columns’ -> [columns], ‘data’ -> [values]}
- Value parameters:
- json
Records in json
- Returns:
Results in json
- Inherited from:
- Model
Predicts values for a given Array, and the order of those values is supposed as same as the input fields list
Predicts values for a given Array, and the order of those values is supposed as same as the input fields list
- Inherited from:
- Model
Predicts values for a given list of key/value pairs.
Predicts values for a given list of key/value pairs.
- Inherited from:
- Model
Predicts values for a given data map of Java.
Predicts values for a given data map of Java.
- Inherited from:
- Model
Tests if probabilities of categories of target can be produced by this model.
Tests if probabilities of categories of target can be produced by this model.
- Inherited from:
- Model
Returns targets that are residual values to be computed, the input data must include target values.
Returns targets that are residual values to be computed, the input data must include target values.
- Inherited from:
- HasOutput
Name of the first target for the supervised model.
Name of the first target for the supervised model.
- Inherited from:
- HasTargetFields
The optional transformation dictionary.
The optional transformation dictionary.
- Inherited from:
- Model
Concrete fields
Returns all candidates output fields of this model when there is no output specified explicitly.
Returns all candidates output fields of this model when there is no output specified explicitly.
Collected all reason codes with order that appears in the PMML file, from top to bottom.
Collected all reason codes with order that appears in the PMML file, from top to bottom.
Inherited fields
The class labels in a classification model.
The class labels in a classification model.
- Inherited from:
- Model
User-defined custom output fields, both the internal output of PMML and predefined output are ignored when the field is specified.
User-defined custom output fields, both the internal output of PMML and predefined output are ignored when the field is specified.
- Inherited from:
- HasOutput
Implicit referenced derived fields for the sub-model except ones defined in the mining schema.
Implicit referenced derived fields for the sub-model except ones defined in the mining schema.
- Inherited from:
- Model
A series with all null values is returned when can not produce a result.
A series with all null values is returned when can not produce a result.
- Inherited from:
- Model
The number of class labels in a classification model.
The number of class labels in a classification model.
- Inherited from:
- Model
When Target specifies optype then it overrides the optype attribute in a corresponding MiningField, if it exists. If the target does not specify optype then the MiningField is used as default. And, in turn, if the MiningField does not specify an optype, it is taken from the corresponding DataField. In other words, a MiningField overrides a DataField, and a Target overrides a MiningField.
When Target specifies optype then it overrides the optype attribute in a corresponding MiningField, if it exists. If the target does not specify optype then the MiningField is used as default. And, in turn, if the MiningField does not specify an optype, it is taken from the corresponding DataField. In other words, a MiningField overrides a DataField, and a Target overrides a MiningField.
- Inherited from:
- Model
A flag for whether to return those predefined output fields not exist in the output element explicitly.
A flag for whether to return those predefined output fields not exist in the output element explicitly.
- Inherited from:
- HasOutput
The class labels of all categorical targets.
The class labels of all categorical targets.
- Inherited from:
- Model
The first target field for the supervised model.
The first target field for the supervised model.
- Inherited from:
- Model
All target fields in an array. Multiple target fields are allowed. It depends on the kind of the model whether prediction of multiple fields is supported.
All target fields in an array. Multiple target fields are allowed. It depends on the kind of the model whether prediction of multiple fields is supported.
- Inherited from:
- Model
Setup indices to retrieve data from series faster by index instead of name, the index is immutable when model is built because the model object could run in multiple threads, so it's important make sure the model object is totally immutable.
Setup indices to retrieve data from series faster by index instead of name, the index is immutable when model is built because the model object could run in multiple threads, so it's important make sure the model object is totally immutable.
Setup indices of targets that are usually not used by the scoring process, they are only used when residual values to be computed.
- Inherited from:
- Model