public class AggregateableEvaluation extends Evaluation implements Aggregateable<Evaluation>
BUILT_IN_EVAL_METRICS
Constructor and Description |
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AggregateableEvaluation(Evaluation eval)
Constructs a new AggregateableEvaluation object based on an Evaluation
object
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AggregateableEvaluation(Instances data)
Constructs a new AggregateableEvaluation object
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AggregateableEvaluation(Instances data,
CostMatrix costMatrix)
Constructs a new AggregateableEvaluation object
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Modifier and Type | Method and Description |
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AggregateableEvaluation |
aggregate(Evaluation evaluation)
Adds the statistics encapsulated in the supplied Evaluation object into
this one.
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void |
finalizeAggregation()
Call to complete the aggregation process.
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areaUnderPRC, areaUnderROC, avgCost, confusionMatrix, correct, correlationCoefficient, coverageOfTestCasesByPredictedRegions, crossValidateModel, crossValidateModel, crossValidateModel, equals, errorRate, evaluateModel, evaluateModel, evaluateModel, evaluateModelOnce, evaluateModelOnce, evaluateModelOnce, evaluateModelOnceAndRecordPrediction, evaluateModelOnceAndRecordPrediction, evaluationForSingleInstance, falseNegativeRate, falseNegativeRate, falsePositiveRate, falsePositiveRate, fMeasure, fMeasure, getAllEvaluationMetricNames, getClassPriors, getDiscardPredictions, getHeader, getMetricsToDisplay, getPluginMetric, getPluginMetrics, getRevision, incorrect, kappa, KBInformation, KBMeanInformation, KBRelativeInformation, main, matthewsCorrelationCoefficient, matthewsCorrelationCoefficient, meanAbsoluteError, meanPriorAbsoluteError, missingClass, numClassified, numFalseNegatives, numFalsePositives, numInstances, numNegatives, numPositives, numPredictedNegatives, numPredictedPositives, numTrueNegatives, numTruePositives, pctCorrect, pctIncorrect, pctUnclassified, precision, predictedClassCounts, predictions, priorEntropy, recall, relativeAbsoluteError, rootMeanPriorSquaredError, rootMeanSquaredError, rootRelativeSquaredError, setDiscardPredictions, setMetricsToDisplay, setPriors, SFEntropyGain, SFMeanEntropyGain, SFMeanPriorEntropy, SFMeanSchemeEntropy, SFPriorEntropy, SFSchemeEntropy, sizeOfPredictedRegions, toClassDetailsString, toClassDetailsString, toCumulativeMarginDistributionString, toggleEvalMetrics, toMatrixString, toMatrixString, toSummaryString, toSummaryString, toSummaryString, totalCost, trueClassCounts, trueNegativeRate, trueNegativeRate, truePositiveRate, truePositiveRate, unclassified, unweightedMacroFmeasure, unweightedMicroFmeasure, updatePriors, useNoPriors, weightedAreaUnderPRC, weightedAreaUnderROC, weightedFalseNegativeRate, weightedFalsePositiveRate, weightedFMeasure, weightedMatthewsCorrelation, weightedPrecision, weightedRecall, weightedTrueNegativeRate, weightedTruePositiveRate, wekaStaticWrapper, withClass
public AggregateableEvaluation(Instances data) throws java.lang.Exception
data
- the Instances to usejava.lang.Exception
- if a problem occurspublic AggregateableEvaluation(Instances data, CostMatrix costMatrix) throws java.lang.Exception
data
- the Instances to usecostMatrix
- the cost matrix to usejava.lang.Exception
- if a problem occurspublic AggregateableEvaluation(Evaluation eval) throws java.lang.Exception
eval
- the Evaluation object to usejava.lang.Exception
public AggregateableEvaluation aggregate(Evaluation evaluation)
aggregate
in interface Aggregateable<Evaluation>
evaluation
- the evaluation object to aggregatepublic void finalizeAggregation()
Aggregateable
finalizeAggregation
in interface Aggregateable<Evaluation>