- Timestamp:
- 07/08/15 09:52:09 (9 years ago)
- Location:
- stable
- Files:
-
- 3 edited
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-
stable
- Property svn:mergeinfo changed
/trunk/sources merged: 12492,12641
- Property svn:mergeinfo changed
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stable/HeuristicLab.Problems.DataAnalysis
- Property svn:mergeinfo changed
/trunk/sources/HeuristicLab.Problems.DataAnalysis merged: 12492,12641
- Property svn:mergeinfo changed
-
stable/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/Classification/DiscriminantFunctionClassificationSolutionBase.cs
r12009 r12669 105 105 TestMeanSquaredError = errorState == OnlineCalculatorError.None ? testMSE : double.NaN; 106 106 107 double trainingR 2 = OnlinePearsonsRSquaredCalculator.Calculate(originalTrainingValues, estimatedTrainingValues, out errorState);108 TrainingRSquared = errorState == OnlineCalculatorError.None ? trainingR 2: double.NaN;109 double testR 2 = OnlinePearsonsRSquaredCalculator.Calculate(originalTestValues, estimatedTestValues, out errorState);110 TestRSquared = errorState == OnlineCalculatorError.None ? testR 2: double.NaN;107 double trainingR = OnlinePearsonsRCalculator.Calculate(originalTrainingValues, estimatedTrainingValues, out errorState); 108 TrainingRSquared = errorState == OnlineCalculatorError.None ? trainingR*trainingR : double.NaN; 109 double testR = OnlinePearsonsRCalculator.Calculate(originalTestValues, estimatedTestValues, out errorState); 110 TestRSquared = errorState == OnlineCalculatorError.None ? testR*testR : double.NaN; 111 111 112 112 double trainingNormalizedGini = NormalizedGiniCalculator.Calculate(originalTrainingValues, estimatedTrainingValues, out errorState);
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