Using the JDM API - Java Data Mining: Strategy, Standard, and Practice - page 216

Table 9-12 javax.datamining.supervised.classificaton.ClassificationModel

interfaces

supervised.classification.ClassificationModel extends supervised.SupervisedModel

Methods Description

getTargetCategorySet():CategorySet Returns the set of target categories used in the model.

wasCostMatrixUsed(): boolean Returns true if a cost matrix was specified and used to build

the model.

GetClassificationError(): double Returns the percentage, expressed between 0 and 100, of the

incorrect predictions made by the model.

supervised.SupervisedModel extends base.Model

Methods Description

getTargetAttributeName(): String Returns the name of the LogicalAttribute that is the target.

base.Model extends MiningObject

Methods Description

getMiningFunction(): MiningFunction Returns the type of the mining function used to build the

model.

getMiningAlgorithm():
MiningAlgorithm

Returns the type of the mining algorithm used to build the
model.

getSignature(): ModelSignature Returns the model signature, i.e., the set of required inputs

for applying the model, or as was used for building the
model.

getModelDetail(): ModelDetail Returns the algorithm-specific model detail for this model.

getAttributeStatistics():
AttributeStatisticsSet

Returns the set of attribute statistics from the build data
computed with this model.

getBuildDuration(): Integer Returns the time in seconds that was taken to build the

model.

getBuildSettings(): BuildSettings Returns the build settings used to build the model, as

specified by the user.

getEffectiveBuildSettings(): BuildSettings Returns the build settings that were actually used by the

DME (with systemDefault and systemDetermined replaced
with actual values).

getUniqueIdentifier(): String Returns a string that can be used to uniquely reference the

JDM model.

getTaskIdentifier(): String Returns the identifier of the task used to build or import the

model.