Index: /trunk/sources/HeuristicLab/3.3/Tests/HeuristicLab-3.3.Tests.csproj
===================================================================
--- /trunk/sources/HeuristicLab/3.3/Tests/HeuristicLab-3.3.Tests.csproj	(revision 6552)
+++ /trunk/sources/HeuristicLab/3.3/Tests/HeuristicLab-3.3.Tests.csproj	(revision 6553)
@@ -126,4 +126,5 @@
     <Compile Include="CollectObjectGraphTest.cs" />
     <Compile Include="ContentViewTests.cs" />
+    <Compile Include="SupportVectorMachineTest.cs" />
     <Compile Include="ThreadSafeLogTest.cs" />
     <Compile Include="Properties\Resources.Designer.cs">
Index: /trunk/sources/HeuristicLab/3.3/Tests/SupportVectorMachineTest.cs
===================================================================
--- /trunk/sources/HeuristicLab/3.3/Tests/SupportVectorMachineTest.cs	(revision 6553)
+++ /trunk/sources/HeuristicLab/3.3/Tests/SupportVectorMachineTest.cs	(revision 6553)
@@ -0,0 +1,110 @@
+﻿#region License Information
+/* HeuristicLab
+ * Copyright (C) 2002-2011 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
+ *
+ * This file is part of HeuristicLab.
+ *
+ * HeuristicLab is free software: you can redistribute it and/or modify
+ * it under the terms of the GNU General Public License as published by
+ * the Free Software Foundation, either version 3 of the License, or
+ * (at your option) any later version.
+ *
+ * HeuristicLab is distributed in the hope that it will be useful,
+ * but WITHOUT ANY WARRANTY; without even the implied warranty of
+ * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+ * GNU General Public License for more details.
+ *
+ * You should have received a copy of the GNU General Public License
+ * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
+ */
+#endregion
+
+using System;
+using System.Linq;
+using System.Threading;
+using HeuristicLab.Algorithms.GeneticAlgorithm;
+using HeuristicLab.Common;
+using HeuristicLab.Data;
+using HeuristicLab.Persistence.Default.Xml;
+using Microsoft.VisualStudio.TestTools.UnitTesting;
+using HeuristicLab.Algorithms.DataAnalysis;
+using HeuristicLab.Problems.DataAnalysis;
+using System.Collections.Generic;
+using HeuristicLab.Core;
+
+namespace HeuristicLab_33.Tests {
+  [TestClass]
+  public class SupportVectorMachineTest {
+    public SupportVectorMachineTest() { }
+
+    private TestContext testContextInstance;
+
+    /// <summary>
+    ///Gets or sets the test context which provides
+    ///information about and functionality for the current test run.
+    ///</summary>
+    public TestContext TestContext {
+      get {
+        return testContextInstance;
+      }
+      set {
+        testContextInstance = value;
+      }
+    }
+
+    private EventWaitHandle trigger = new AutoResetEvent(false);
+    private Exception ex;
+
+    [TestMethod]
+    public void SupportVectorMachinePerformanceTest() {
+      ex = null;
+
+      var cv = new CrossValidation();
+      cv.Algorithm = new SupportVectorRegression();
+      var rand = new HeuristicLab.Random.MersenneTwister();
+      double[,] data = GenerateData(1000, rand);
+      List<string> variables = new List<string>() { "x1", "x2", "x3", "x4", "x5", "x6", "x7", "x8", "x9", "x10", "y" };
+      Dataset ds = new Dataset(variables, data);
+      cv.Problem.ProblemDataParameter.ActualValue = new RegressionProblemData(ds, variables.Take(10), variables.Last());
+      cv.Folds.Value = 5;
+      cv.SamplesStart.Value = 0;
+      cv.SamplesEnd.Value = 999;
+
+      cv.ExceptionOccurred += new EventHandler<EventArgs<Exception>>(cv_ExceptionOccurred);
+      cv.Stopped += new EventHandler(cv_Stopped);
+
+      cv.Prepare();
+      cv.Start();
+      trigger.WaitOne();
+      if (ex != null) throw ex;
+
+      TestContext.WriteLine("Runtime: {0}", cv.ExecutionTime.ToString());
+
+    }
+
+    // poly-10: y = x1 x2 + x3 x4 + x5 x6 + x1 x7 x9 + x3 x6 x10
+    private double[,] GenerateData(int n, IRandom random) {
+      double[,] data = new double[n, 11];
+      for (int i = 0; i < n; i++) {
+        for (int c = 0; c < 10; c++) {
+          data[i, c] = random.NextDouble() * 2.0 - 1.0;
+        }
+        data[i, 10] =
+          data[i, 0] * data[i, 1] +
+          data[i, 2] * data[i, 3] +
+          data[i, 4] * data[i, 5] +
+          data[i, 0] * data[i, 6] * data[i, 8] +
+          data[i, 2] * data[i, 5] * data[i, 9];
+      }
+      return data;
+    }
+
+    private void cv_ExceptionOccurred(object sender, EventArgs<Exception> e) {
+      ex = e.Value;
+    }
+
+    private void cv_Stopped(object sender, EventArgs e) {
+      trigger.Set();
+    }
+  }
+}
