- Timestamp:
- 07/08/15 09:52:09 (9 years ago)
- Location:
- stable
- Files:
-
- 3 edited
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- Unmodified
- Added
- Removed
-
stable
- Property svn:mergeinfo changed
/trunk/sources merged: 12492,12641
- Property svn:mergeinfo changed
-
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/Regression/RegressionSolutionBase.cs
r12636 r12669 229 229 TestMeanAbsoluteError = errorState == OnlineCalculatorError.None ? testMAE : double.NaN; 230 230 231 double trainingR 2 = OnlinePearsonsRSquaredCalculator.Calculate(originalTrainingValues, estimatedTrainingValues, out errorState);232 TrainingRSquared = errorState == OnlineCalculatorError.None ? trainingR 2: double.NaN;233 double testR 2 = OnlinePearsonsRSquaredCalculator.Calculate(originalTestValues, estimatedTestValues, out errorState);234 TestRSquared = errorState == OnlineCalculatorError.None ? testR 2: double.NaN;231 double trainingR = OnlinePearsonsRCalculator.Calculate(originalTrainingValues, estimatedTrainingValues, out errorState); 232 TrainingRSquared = errorState == OnlineCalculatorError.None ? trainingR*trainingR : double.NaN; 233 double testR = OnlinePearsonsRCalculator.Calculate(originalTestValues, estimatedTestValues, out errorState); 234 TestRSquared = errorState == OnlineCalculatorError.None ? testR*testR : double.NaN; 235 235 236 236 double trainingRelError = OnlineMeanAbsolutePercentageErrorCalculator.Calculate(originalTrainingValues, estimatedTrainingValues, out errorState);
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