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This represents the result of a test task applied to a classification model.
Superclasses
MiningTestResult
Attributes
accuracy
This represents the absolute number or the percentage (between 0 and 100) of correct predictions on the test data applied
to a classification model. type: double multiplicity: exactly one
References
confusionMatrix
This references to a matrix holding the absolute numbers of wrong predictions. A cell entry c(A,B)=n indicates that n test
records had class label A in the target field, but class B was
predicted by the model.class:defined by:multiplicity:inverse: |
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| CategoryMatrix | |||||
| TestResultRefConfusionMatrix | |||||
| zero or one | |||||
| CategoryMatrix::testResult |