supervised.classification.ClassificationModel extends supervised.SupervisedModel
Returns the set of target categories used in the model.
Returns true if a cost matrix was specified and used to build
Returns the percentage, expressed between 0 and 100, of the
incorrect predictions made by the model.
supervised.SupervisedModel extends base.Model
Returns the name of the LogicalAttribute that is the target.
base.Model extends MiningObject
Returns the type of the mining function used to build the
Returns the type of the mining algorithm used to build the
Returns the model signature, i.e., the set of required inputs
for applying the model, or as was used for building the
Returns the algorithm-specific model detail for this model.
Returns the set of attribute statistics from the build data
computed with this model.
Returns the time in seconds that was taken to build the
Returns the build settings used to build the model, as
specified by the user.
Returns the build settings that were actually used by the
DME (with systemDefault and systemDetermined replaced
with actual values).
Returns a string that can be used to uniquely reference the
Returns the identifier of the task used to build or import the