Index: /trunk/HeuristicLab.Algorithms.DataAnalysis/3.4/NearestNeighbour/NearestNeighbourModel.cs
===================================================================
--- /trunk/HeuristicLab.Algorithms.DataAnalysis/3.4/NearestNeighbour/NearestNeighbourModel.cs	(revision 16762)
+++ /trunk/HeuristicLab.Algorithms.DataAnalysis/3.4/NearestNeighbour/NearestNeighbourModel.cs	(revision 16763)
@@ -294,5 +294,5 @@
         return IsProblemDataCompatible(classificationProblemData, out errorMessage);
 
-      throw new ArgumentException("The problem data is not a regression nor a classification problem data. Instead a " + problemData.GetType().GetPrettyName() + " was provided.", "problemData");
+      throw new ArgumentException("The problem data is not compatible with this nearest neighbour model. Instead a " + problemData.GetType().GetPrettyName() + " was provided.", "problemData");
     }
 
Index: /trunk/HeuristicLab.Algorithms.DataAnalysis/3.4/NeuralNetwork/NeuralNetworkEnsembleModel.cs
===================================================================
--- /trunk/HeuristicLab.Algorithms.DataAnalysis/3.4/NeuralNetwork/NeuralNetworkEnsembleModel.cs	(revision 16762)
+++ /trunk/HeuristicLab.Algorithms.DataAnalysis/3.4/NeuralNetwork/NeuralNetworkEnsembleModel.cs	(revision 16763)
@@ -144,5 +144,5 @@
         return IsProblemDataCompatible(classificationProblemData, out errorMessage);
 
-      throw new ArgumentException("The problem data is not a regression nor a classification problem data. Instead a " + problemData.GetType().GetPrettyName() + " was provided.", "problemData");
+      throw new ArgumentException("The problem data is not compatible with this neural network ensemble. Instead a " + problemData.GetType().GetPrettyName() + " was provided.", "problemData");
     }
 
Index: /trunk/HeuristicLab.Algorithms.DataAnalysis/3.4/NeuralNetwork/NeuralNetworkModel.cs
===================================================================
--- /trunk/HeuristicLab.Algorithms.DataAnalysis/3.4/NeuralNetwork/NeuralNetworkModel.cs	(revision 16762)
+++ /trunk/HeuristicLab.Algorithms.DataAnalysis/3.4/NeuralNetwork/NeuralNetworkModel.cs	(revision 16763)
@@ -147,5 +147,5 @@
         return IsProblemDataCompatible(classificationProblemData, out errorMessage);
 
-      throw new ArgumentException("The problem data is not a regression nor a classification problem data. Instead a " + problemData.GetType().GetPrettyName() + " was provided.", "problemData");
+      throw new ArgumentException("The problem data is not compatible with this neural network. Instead a " + problemData.GetType().GetPrettyName() + " was provided.", "problemData");
     }
 
Index: /trunk/HeuristicLab.Algorithms.DataAnalysis/3.4/RandomForest/RandomForestModel.cs
===================================================================
--- /trunk/HeuristicLab.Algorithms.DataAnalysis/3.4/RandomForest/RandomForestModel.cs	(revision 16762)
+++ /trunk/HeuristicLab.Algorithms.DataAnalysis/3.4/RandomForest/RandomForestModel.cs	(revision 16763)
@@ -300,5 +300,5 @@
         return IsProblemDataCompatible(classificationProblemData, out errorMessage);
 
-      throw new ArgumentException("The problem data is not a regression nor a classification problem data. Instead a " + problemData.GetType().GetPrettyName() + " was provided.", "problemData");
+      throw new ArgumentException("The problem data is not compatible with this random forest. Instead a " + problemData.GetType().GetPrettyName() + " was provided.", "problemData");
     }
 
Index: /trunk/HeuristicLab.Algorithms.DataAnalysis/3.4/SupportVectorMachine/SupportVectorMachineModel.cs
===================================================================
--- /trunk/HeuristicLab.Algorithms.DataAnalysis/3.4/SupportVectorMachine/SupportVectorMachineModel.cs	(revision 16762)
+++ /trunk/HeuristicLab.Algorithms.DataAnalysis/3.4/SupportVectorMachine/SupportVectorMachineModel.cs	(revision 16763)
@@ -143,5 +143,5 @@
         return IsProblemDataCompatible(classificationProblemData, out errorMessage);
 
-      throw new ArgumentException("The problem data is not a regression nor a classification problem data. Instead a " + problemData.GetType().GetPrettyName() + " was provided.", "problemData");
+      throw new ArgumentException("The problem data is not compatible with this SVM. Instead a " + problemData.GetType().GetPrettyName() + " was provided.", "problemData");
     }
 
Index: /trunk/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/SymbolicClassificationModel.cs
===================================================================
--- /trunk/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/SymbolicClassificationModel.cs	(revision 16762)
+++ /trunk/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/SymbolicClassificationModel.cs	(revision 16763)
@@ -81,5 +81,5 @@
       var classificationProblemData = problemData as IClassificationProblemData;
       if (classificationProblemData == null)
-        throw new ArgumentException("The problem data is not a regression problem data. Instead a " + problemData.GetType().GetPrettyName() + " was provided.", "problemData");
+        throw new ArgumentException("The problem data is not compatible with this classification model. Instead a " + problemData.GetType().GetPrettyName() + " was provided.", "problemData");
       return IsProblemDataCompatible(classificationProblemData, out errorMessage);
     }
Index: /trunk/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SymbolicRegressionModel.cs
===================================================================
--- /trunk/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SymbolicRegressionModel.cs	(revision 16762)
+++ /trunk/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SymbolicRegressionModel.cs	(revision 16763)
@@ -90,5 +90,5 @@
       var regressionProblemData = problemData as IRegressionProblemData;
       if (regressionProblemData == null)
-        throw new ArgumentException("The problem data is not a regression problem data. Instead a " + problemData.GetType().GetPrettyName() + " was provided.", "problemData");
+        throw new ArgumentException("The problem data is not compatible with this symbolic regression model. Instead a " + problemData.GetType().GetPrettyName() + " was provided.", "problemData");
       return IsProblemDataCompatible(regressionProblemData, out errorMessage);
     }
Index: /trunk/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/Classification/ClassificationModel.cs
===================================================================
--- /trunk/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/Classification/ClassificationModel.cs	(revision 16762)
+++ /trunk/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/Classification/ClassificationModel.cs	(revision 16763)
@@ -75,5 +75,5 @@
       var classificationProblemData = problemData as IClassificationProblemData;
       if (classificationProblemData == null)
-        throw new ArgumentException("The problem data is not a regression problem data. Instead a " + problemData.GetType().GetPrettyName() + " was provided.", "problemData");
+        throw new ArgumentException("The problem data is not compatible with this classification model. Instead a " + problemData.GetType().GetPrettyName() + " was provided.", "problemData");
       return IsProblemDataCompatible(classificationProblemData, out errorMessage);
     }
Index: /trunk/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/ConstantModel.cs
===================================================================
--- /trunk/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/ConstantModel.cs	(revision 16762)
+++ /trunk/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/ConstantModel.cs	(revision 16763)
@@ -98,5 +98,5 @@
         return IsProblemDataCompatible(classificationProblemData, out errorMessage);
 
-      throw new ArgumentException("The problem data is not a regression nor a classification problem data. Instead a " + problemData.GetType().GetPrettyName() + " was provided.", "problemData");
+      throw new ArgumentException("The problem data is compatible with this model. Instead a " + problemData.GetType().GetPrettyName() + " was provided.", "problemData");
     }
 
Index: /trunk/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/Regression/RegressionModel.cs
===================================================================
--- /trunk/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/Regression/RegressionModel.cs	(revision 16762)
+++ /trunk/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/Regression/RegressionModel.cs	(revision 16763)
@@ -76,5 +76,5 @@
       var regressionProblemData = problemData as IRegressionProblemData;
       if (regressionProblemData == null)
-        throw new ArgumentException("The problem data is not a regression problem data. Instead a " + problemData.GetType().GetPrettyName() + " was provided.", "problemData");
+        throw new ArgumentException("The problem data is not compatible with this regression model. Instead a " + problemData.GetType().GetPrettyName() + " was provided.", "problemData");
       return IsProblemDataCompatible(regressionProblemData, out errorMessage);
     }
