[8595] | 1 | #region License Information
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| 2 | /* HeuristicLab
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[9456] | 3 | * Copyright (C) 2002-2013 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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[8595] | 4 | *
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| 5 | * This file is part of HeuristicLab.
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| 6 | *
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| 7 | * HeuristicLab is free software: you can redistribute it and/or modify
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| 8 | * it under the terms of the GNU General Public License as published by
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| 9 | * the Free Software Foundation, either version 3 of the License, or
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| 10 | * (at your option) any later version.
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| 11 | *
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| 12 | * HeuristicLab is distributed in the hope that it will be useful,
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| 13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
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| 14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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| 15 | * GNU General Public License for more details.
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| 16 | *
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| 17 | * You should have received a copy of the GNU General Public License
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| 18 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
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| 19 | */
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| 20 | #endregion
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| 21 |
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| 22 |
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| 23 | using System;
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| 24 | namespace HeuristicLab.Problems.Instances.DataAnalysis {
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[9208] | 25 | public class Wine : UCIDataDescriptor {
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| 26 | public override string Filename { get { return "Wine"; } }
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| 27 | public override string Description {
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[8595] | 28 | get {
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| 29 | return "These data are the results of a chemical analysis of wines grown in the same region " +
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| 30 | "in Italy but derived from three different cultivars. The analysis determined the quantities " +
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| 31 | "of 13 constituents found in each of the three types of wines." + Environment.NewLine + Environment.NewLine +
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| 32 | "I think that the initial data set had around 30 variables, but for some reason I only have the " +
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| 33 | "13 dimensional version. I had a list of what the 30 or so variables were, but a.) I lost it, and b.), " +
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| 34 | "I would not know which 13 variables are included in the set." + Environment.NewLine + Environment.NewLine +
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| 35 | "The attributes are (dontated by Riccardo Leardi, riclea '@' anchem.unige.it )" + Environment.NewLine +
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| 36 | "1) Alcohol" + Environment.NewLine +
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| 37 | "2) Malic acid" + Environment.NewLine +
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| 38 | "3) Ash" + Environment.NewLine +
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| 39 | "4) Alcalinity of ash" + Environment.NewLine +
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| 40 | "5) Magnesium" + Environment.NewLine +
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| 41 | "6) Total phenols" + Environment.NewLine +
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| 42 | "7) Flavanoids" + Environment.NewLine +
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| 43 | "8) Nonflavanoid phenols" + Environment.NewLine +
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| 44 | "9) Proanthocyanins" + Environment.NewLine +
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| 45 | "10)Color intensity" + Environment.NewLine +
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| 46 | "11)Hue" + Environment.NewLine +
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| 47 | "12)OD280/OD315 of diluted wines" + Environment.NewLine +
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| 48 | "13)Proline" + Environment.NewLine + Environment.NewLine +
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| 49 | "In a classification context, this is a well posed problem with \"well behaved\" class structures. A " +
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| 50 | "good data set for first testing of a new classifier, but not very challenging. ";
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| 51 | }
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| 52 | }
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[9208] | 53 | public override string Donor { get { return "S. Aeberhard"; } }
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| 54 | public override int Year { get { return 1991; } }
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| 55 |
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| 56 | protected override string TargetVariable { get { return "Class"; } }
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| 57 | protected override string[] VariableNames {
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| 58 | get { return new string[] { "Alcohol", "Malic acid", "Ash", "Alcalinity of ash", "Magnesium", "Total phenols", "Flavanoids", "Nonflavanoid phenols", "Proanthocyanins", "Color intensity", "Hue", "OD280/OD315 of diluted wines", "Proline", "Class" }; }
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| 59 | }
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| 60 | protected override string[] AllowedInputVariables {
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| 61 | get { return new string[] { "Alcohol", "Malic acid", "Ash", "Alcalinity of ash", "Magnesium", "Total phenols", "Flavanoids", "Nonflavanoid phenols", "Proanthocyanins", "Color intensity", "Hue", "OD280/OD315 of diluted wines", "Proline" }; }
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| 62 | }
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| 63 | protected override int TrainingPartitionStart { get { return 0; } }
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| 64 | protected override int TrainingPartitionEnd { get { return 119; } }
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| 65 | protected override int TestPartitionStart { get { return 119; } }
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| 66 | protected override int TestPartitionEnd { get { return 178; } }
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[8595] | 67 | }
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| 68 | }
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