#region License Information /* HeuristicLab * Copyright (C) 2002-2016 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 . */ #endregion using System; using System.Collections.Generic; using System.Linq; namespace HeuristicLab.Problems.DataAnalysis { public class ConfusionMatrixCalculator { public static double[,] Calculate(IEnumerable originalValues, IEnumerable estimatedValues, out OnlineCalculatorError errorState) { if (!originalValues.Any() || !estimatedValues.Any()) { errorState = OnlineCalculatorError.InsufficientElementsAdded; return null; } Dictionary classValueIndexMapping = new Dictionary(); int index = 0; foreach (double classValue in originalValues.OrderBy(x => x)) { if (!classValueIndexMapping.ContainsKey(classValue)) { classValueIndexMapping.Add(classValue, index); index++; } } int classes = classValueIndexMapping.Count; double[,] confusionMatrix = new double[classes, classes]; IEnumerator originalEnumerator = originalValues.GetEnumerator(); IEnumerator estimatedEnumerator = estimatedValues.GetEnumerator(); int originalIndex; int estimatedIndex; while (originalEnumerator.MoveNext() & estimatedEnumerator.MoveNext()) { if (!classValueIndexMapping.TryGetValue(originalEnumerator.Current, out originalIndex)) { errorState = OnlineCalculatorError.InvalidValueAdded; return null; } if (!classValueIndexMapping.TryGetValue(estimatedEnumerator.Current, out estimatedIndex)) { errorState = OnlineCalculatorError.InvalidValueAdded; return null; } confusionMatrix[estimatedIndex, originalIndex] += 1; } if (originalEnumerator.MoveNext() || estimatedEnumerator.MoveNext()) { throw new ArgumentException("Number of elements in originalValues and estimatedValues enumerations doesn't match."); } errorState = OnlineCalculatorError.None; return confusionMatrix; } } }