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Changeset 13099


Ignore:
Timestamp:
11/02/15 22:00:14 (9 years ago)
Author:
gkronber
Message:

#1998: fixed strings (the person is called Matthews)

File:
1 edited

Legend:

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  • branches/ClassificationModelComparison/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/Classification/ClassificationPerformanceMeasures.cs

    r13098 r13099  
    142142      Add(new Result(TrainingNegativePredictiveValueResultName, "Negative predictive value of the model on the training partition\n(TN/(TN+FN)).", new PercentValue()));
    143143      Add(new Result(TrainingFalsePositiveRateResultName, "The false positive rate is the complement of the true negative rate of the model on the training partition.", new PercentValue()));
    144       Add(new Result(TrainingFalseDiscoveryRateResultName, "The false discovery rate is the complement of the positive predictive value of the model on the test partition.", new PercentValue()));
     144      Add(new Result(TrainingFalseDiscoveryRateResultName, "The false discovery rate is the complement of the positive predictive value of the model on the training partition.", new PercentValue()));
    145145      Add(new Result(TrainingF1ScoreResultName, "The F1 score of the model on the training partition.", new DoubleValue()));
    146       Add(new Result(TrainingMatthewsCorrelationResultName, "The Matthew's correlation value of the model on the training partition.", new DoubleValue()));
     146      Add(new Result(TrainingMatthewsCorrelationResultName, "The Matthews correlation value of the model on the training partition.", new DoubleValue()));
    147147      Add(new Result(TestTruePositiveRateResultName, "Sensitivity/True positive rate of the model on the test partition\n(TP/(TP+FN)).", new PercentValue()));
    148148      Add(new Result(TestTrueNegativeRateResultName, "Specificity/True negative rate of the model on the test partition\n(TN/(FP+TN)).", new PercentValue()));
    … …  
    152152      Add(new Result(TestFalseDiscoveryRateResultName, "The false discovery rate is the complement of the positive predictive value of the model on the test partition.", new PercentValue()));
    153153      Add(new Result(TestF1ScoreResultName, "The F1 score of the model on the test partition.", new DoubleValue()));
    154       Add(new Result(TrainingMatthewsCorrelationResultName, "The Matthew's correlation value of the model on the test partition.", new DoubleValue()));
     154      Add(new Result(TrainingMatthewsCorrelationResultName, "The Matthews correlation value of the model on the test partition.", new DoubleValue()));
    155155      TrainingTruePositiveRate = double.NaN;
    156156      TrainingTrueNegativeRate = double.NaN;
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