Changeset 400
- Timestamp:
- 07/29/08 16:30:36 (16 years ago)
- Location:
- trunk/sources/HeuristicLab.StructureIdentification/Evaluation
- Files:
-
- 5 edited
Legend:
- Unmodified
- Added
- Removed
-
trunk/sources/HeuristicLab.StructureIdentification/Evaluation/CoefficientOfDeterminationEvaluator.cs
r396 r400 67 67 } 68 68 } 69 70 scope.GetVariableValue<DoubleData>("TotalEvaluatedNodes", true).Data = totalEvaluatedNodes + treeSize * (trainingEnd - trainingStart); 71 69 72 double quality = 1 - errorsSquaredSum / originalDeviationTotalSumOfSquares; 70 73 if(quality > 1) -
trunk/sources/HeuristicLab.StructureIdentification/Evaluation/MCCEvaluator.cs
r396 r400 90 90 } 91 91 } 92 scope.GetVariableValue<DoubleData>("TotalEvaluatedNodes", true).Data = totalEvaluatedNodes + treeSize * (trainingEnd - trainingStart); 92 93 return best_mcc; 93 94 } -
trunk/sources/HeuristicLab.StructureIdentification/Evaluation/MeanAbsolutePercentageErrorEvaluator.cs
r396 r400 63 63 } 64 64 int nSamples = trainingEnd - trainingStart; 65 scope.GetVariableValue<DoubleData>("TotalEvaluatedNodes", true).Data = totalEvaluatedNodes + treeSize * nSamples; 65 66 double quality = errorsSum / nSamples; 66 67 if(double.IsNaN(quality) || double.IsInfinity(quality)) -
trunk/sources/HeuristicLab.StructureIdentification/Evaluation/TheilInequalityCoefficientEvaluator.cs
r396 r400 71 71 } 72 72 int nSamples = trainingEnd - trainingStart; 73 double quality = Math.Sqrt(errorsSquaredSum / nSamples) / (Math.Sqrt(estimatedSquaredSum/nSamples) + Math.Sqrt(originalSquaredSum/nSamples)); 73 scope.GetVariableValue<DoubleData>("TotalEvaluatedNodes", true).Data = totalEvaluatedNodes + treeSize * nSamples; 74 double quality = Math.Sqrt(errorsSquaredSum / nSamples) / (Math.Sqrt(estimatedSquaredSum / nSamples) + Math.Sqrt(originalSquaredSum / nSamples)); 74 75 if(double.IsNaN(quality) || double.IsInfinity(quality)) 75 76 quality = double.MaxValue; -
trunk/sources/HeuristicLab.StructureIdentification/Evaluation/VarianceAccountedForEvaluator.cs
r396 r400 74 74 originalTargetVariableValues[sample-trainingStart] = original; 75 75 } 76 scope.GetVariableValue<DoubleData>("TotalEvaluatedNodes", true).Data = totalEvaluatedNodes + treeSize * (trainingEnd-trainingStart); 76 77 77 78 double errorsVariance = Statistics.Variance(errors);
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