Changeset 10556 for branches/ClassificationModelComparison/HeuristicLab.Algorithms.DataAnalysis/3.4/NeuralNetwork/NeuralNetworkClassification.cs
- Timestamp:
- 03/05/14 17:36:03 (10 years ago)
- Location:
- branches/ClassificationModelComparison/HeuristicLab.Algorithms.DataAnalysis
- Files:
-
- 2 edited
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branches/ClassificationModelComparison/HeuristicLab.Algorithms.DataAnalysis
- Property svn:mergeinfo changed
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branches/ClassificationModelComparison/HeuristicLab.Algorithms.DataAnalysis/3.4/NeuralNetwork/NeuralNetworkClassification.cs
r8139 r10556 1 1 #region License Information 2 2 /* HeuristicLab 3 * Copyright (C) 2002-201 2Heuristic and Evolutionary Algorithms Laboratory (HEAL)3 * Copyright (C) 2002-2013 Heuristic and Evolutionary Algorithms Laboratory (HEAL) 4 4 * 5 5 * This file is part of HeuristicLab. … … 26 26 using HeuristicLab.Core; 27 27 using HeuristicLab.Data; 28 using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;29 28 using HeuristicLab.Optimization; 29 using HeuristicLab.Parameters; 30 30 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable; 31 31 using HeuristicLab.Problems.DataAnalysis; 32 using HeuristicLab.Problems.DataAnalysis.Symbolic;33 using HeuristicLab.Problems.DataAnalysis.Symbolic.Regression;34 using HeuristicLab.Parameters;35 32 36 33 namespace HeuristicLab.Algorithms.DataAnalysis { … … 47 44 private const string NodesInSecondHiddenLayerParameterName = "NodesInSecondHiddenLayer"; 48 45 private const string RestartsParameterName = "Restarts"; 49 private const string NeuralNetwork RegressionModelResultName = "Neural network classification solution";46 private const string NeuralNetworkClassificationModelResultName = "Neural network classification solution"; 50 47 51 48 #region parameter properties … … 174 171 double rmsError, avgRelError, relClassError; 175 172 var solution = CreateNeuralNetworkClassificationSolution(Problem.ProblemData, HiddenLayers, NodesInFirstHiddenLayer, NodesInSecondHiddenLayer, Decay, Restarts, out rmsError, out avgRelError, out relClassError); 176 Results.Add(new Result(NeuralNetwork RegressionModelResultName, "The neural network regression solution.", solution));177 Results.Add(new Result("Root mean square error", "The root of the mean of squared errors of the neural network regression solution on the training set.", new DoubleValue(rmsError)));178 Results.Add(new Result("Average relative error", "The average of relative errors of the neural network regression solution on the training set.", new PercentValue(avgRelError)));173 Results.Add(new Result(NeuralNetworkClassificationModelResultName, "The neural network classification solution.", solution)); 174 Results.Add(new Result("Root mean square error", "The root of the mean of squared errors of the neural network classification solution on the training set.", new DoubleValue(rmsError))); 175 Results.Add(new Result("Average relative error", "The average of relative errors of the neural network classification solution on the training set.", new PercentValue(avgRelError))); 179 176 Results.Add(new Result("Relative classification error", "The percentage of misclassified samples.", new PercentValue(relClassError))); 180 177 }
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