- <init>
- evaluateModel
Evaluates a classifier with the options given in an array of strings. Valid
options are:
-t name o
- toSummaryString
Calls toSummaryString() with a default title.
- crossValidateModel
Performs a (stratified if class is nominal) cross-validation for a classifier on
a set of instances.
- pctCorrect
Gets the percentage of instances correctly classified (that is, for which a
correct prediction was m
- toMatrixString
Outputs the performance statistics as a classification confusion matrix. For
each class value, shows
- toClassDetailsString
Generates a breakdown of the accuracy for each class, incorporating various
information-retrieval st
- weightedFMeasure
Calculates the macro weighted (by class size) average F-Measure.
- weightedPrecision
Calculates the weighted (by class size) precision.
- weightedRecall
Calculates the weighted (by class size) recall.
- 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)