source: trunk/sources/HeuristicLab.Problems.DataAnalysis/3.4/OnlineCalculators/ConfusionMatrixCalculator.cs @ 13102

Last change on this file since 13102 was 13102, checked in by gkronber, 7 years ago

#1998:

  • changed namespace and name of view
  • calculate f1 score only for solutions for binary classification problems
File size: 2.8 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2015 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4 *
5 * This file is part of HeuristicLab.
6 *
7 * HeuristicLab is free software: you can redistribute it and/or modify
8 * it under the terms of the GNU General Public License as published by
9 * the Free Software Foundation, either version 3 of the License, or
10 * (at your option) any later version.
11 *
12 * HeuristicLab is distributed in the hope that it will be useful,
13 * but WITHOUT ANY WARRANTY; without even the implied warranty of
14 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
15 * GNU General Public License for more details.
16 *
17 * You should have received a copy of the GNU General Public License
18 * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
19 */
20#endregion
21
22using System;
23using System.Collections.Generic;
24using System.Linq;
25
26namespace HeuristicLab.Problems.DataAnalysis {
27  public class ConfusionMatrixCalculator {
28    public static double[,] Calculate(IEnumerable<double> originalValues, IEnumerable<double> estimatedValues, out OnlineCalculatorError errorState) {
29      if (originalValues.Count() != estimatedValues.Count()) {
30        throw new ArgumentException("Number of elements in originalValues and estimatedValues enumerations doesn't match.");
31      }
32
33      var  classValues = originalValues.Distinct().ToList();
34      var estimatedClassValues = estimatedValues.Distinct().ToList();
35
36      if (!estimatedClassValues.All(x => classValues.Contains(x))) {
37        errorState = OnlineCalculatorError.InvalidValueAdded;
38        return null;
39      }
40
41      int classes = classValues.Count;
42      double[,] confusionMatrix = new double[classes, classes];
43
44      Dictionary<double, int> classValueIndexMapping = new Dictionary<double, int>();
45      int index = 0;
46      foreach (double classValue in classValues.OrderBy(x => x)) {
47        classValueIndexMapping.Add(classValue, index);
48        index++;
49      }
50
51      IEnumerator<double> originalEnumerator = originalValues.GetEnumerator();
52      IEnumerator<double> estimatedEnumerator = estimatedValues.GetEnumerator();
53      int originalIndex;
54      int estimatedIndex;
55      while (originalEnumerator.MoveNext() & estimatedEnumerator.MoveNext()) {
56        if (!classValueIndexMapping.TryGetValue(originalEnumerator.Current, out originalIndex)) {
57          errorState = OnlineCalculatorError.InvalidValueAdded;
58          return null;
59        }
60        if (!classValueIndexMapping.TryGetValue(estimatedEnumerator.Current, out estimatedIndex)) {
61          errorState = OnlineCalculatorError.InvalidValueAdded;
62          return null;
63        }
64
65        confusionMatrix[estimatedIndex, originalIndex] += 1;
66      }
67
68      errorState = OnlineCalculatorError.None;
69      return confusionMatrix;
70    }
71  }
72}
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