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#Weka.classifiers.evaluation Classes and Interfaces - 16 results found.
NameDescriptionTypePackageFramework
AbstractEvaluationMetricAbstract base class for pluggable classification/regression evaluationVersion:$Revision: 12409 $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.classifiers.evaluationWeka
AbstractOutputA superclass for outputting the classifications of a classifier.Classweka.classifiers.evaluation.output.predictionWeka
AggregateableEvaluationSubclass of Evaluation that provides a method for aggregating the results stored in another Evaluation object.Classweka.classifiers.evaluationWeka
ConfusionMatrixCells of this matrix correspond to counts of the number (or weight) of predictions for each actual value / predicted value combination.Classweka.classifiers.evaluationWeka
CostCurveGenerates points illustrating probablity cost tradeoffs that can be obtained by varying the threshold value between classes.Classweka.classifiers.evaluationWeka
CSV Outputs the predictions as CSV.Classweka.classifiers.evaluation.output.predictionWeka
NominalPredictionEncapsulates an evaluatable nominal prediction: the predicted probability distribution plus the actual class value.Classweka.classifiers.evaluationWeka
Null Suppresses all output.Classweka.classifiers.evaluation.output.predictionWeka
NumericPredictionEncapsulates an evaluatable numeric prediction: the predicted class value plus the actual class value.Classweka.classifiers.evaluationWeka
PlainText Outputs the predictions in plain text.Classweka.classifiers.evaluation.output.predictionWeka
PredictionEncapsulates a single evaluatable prediction: the predicted value plus the actual class value.Interfaceweka.classifiers.evaluationWeka
RegressionAnalysisAnalyzes linear regression model by using the Student's t-test on each coefficient.Classweka.classifiers.evaluationWeka
StandardEvaluationMetricPrimarily a marker interface for a "standard" evaluation metric - i.Interfaceweka.classifiers.evaluationWeka
ThresholdCurveGenerates points illustrating prediction tradeoffs that can be obtained by varying the threshold value between classes.Classweka.classifiers.evaluationWeka
ThresholdProducingMetricSome evaluation measures may optimize thresholds on the class probabilities.Interfaceweka.classifiers.evaluationWeka
TwoClassStatsEncapsulates performance functions for two-class problems.Classweka.classifiers.evaluationWeka