- <init>
Initializes all the counters for the evaluation and also takes a cost matrix as
parameter. Use useNo
- evaluateModelOnceAndRecordPrediction
Evaluates the supplied distribution on a single instance.
- toClassDetailsString
Generates a breakdown of the accuracy for each class, incorporating various
information-retrieval st
- toSummaryString
Calls toSummaryString() with a default title.
- areaUnderROC
Returns the area under ROC for those predictions that have been collected in the
evaluateClassifier(
- correct
Gets the number of instances correctly classified (that is, for which a correct
prediction was made)
- crossValidateModel
Performs a (stratified if class is nominal) cross-validation for a classifier on
a set of instances.
- evaluateModel
Evaluates a classifier with the options given in an array of strings. Valid
options are:
-t name o
- numInstances
Gets the number of test instances that had a known class value (actually the sum
of the weights of t
- predictions
Returns the predictions that have been collected.
- toMatrixString
Outputs the performance statistics as a classification confusion matrix. For
each class value, shows
- areaUnderPRC
Returns the area under precision-recall curve (AUPRC) for those predictions that
have been collected