/* * This program 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 2 of the License, or * (at your option) any later version. * * This program 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 this program; if not, write to the Free Software * Foundation, Inc., 675 Mass Ave, Cambridge, MA 02139, USA. */ /* * MacroAveragePrecision.java * Copyright (C) 2009-2010 Aristotle University of Thessaloniki, Thessaloniki, Greece */ package mulan.evaluation.measure; import java.util.Collections; import weka.core.Utils; /** * Implementation of MAP (Mean Average Precision) * * @author Eleftherios Spyromitros Xioufis * @version 2010.12.10 */ public class MeanAveragePrecision extends LabelBasedAveragePrecision { private double[] AveragePrecision; /** * Creates a new instance of this class * * @param numOfLabels the number of labels */ public MeanAveragePrecision(int numOfLabels) { super(numOfLabels); } public double getValue() { AveragePrecision = new double[numOfLabels]; for (int labelIndex = 0; labelIndex < numOfLabels; labelIndex++) { AveragePrecision[labelIndex] = 0; Collections.sort(confact[labelIndex], Collections.reverseOrder()); double retrievedCounter = 0; double relevantCounter = 0; for (int i = 0; i < confact[labelIndex].size(); i++) { retrievedCounter++; Boolean actual = confact[labelIndex].get(i).getActual(); if (actual) { relevantCounter++; AveragePrecision[labelIndex] += relevantCounter / retrievedCounter; } } AveragePrecision[labelIndex] /= relevantCounter; } return Utils.mean(AveragePrecision); } /** * Returns the value of the measure for each label * * @param labelIndex the index of the label * @return the value of the measure */ public double getValue(int labelIndex) { return AveragePrecision[labelIndex]; } public String getName() { return "Mean Average Precision"; } public double getIdealValue() { return 1; } }