/** * Constructor. * * @param contmat score result */ public ScoreResult(ClusterContingencyTable contmat) { super("Cluster-Evalation", "cluster-evaluation"); this.contmat = contmat; PairCounting paircount = contmat.getPaircount(); MeasurementGroup g = newGroup("Pair counting measures"); g.addMeasure("Jaccard", paircount.jaccard(), 0, 1, false); g.addMeasure("F1-Measure", paircount.f1Measure(), 0, 1, false); g.addMeasure("Precision", paircount.precision(), 0, 1, false); g.addMeasure("Recall", paircount.recall(), 0, 1, false); g.addMeasure("Rand", paircount.randIndex(), 0, 1, false); g.addMeasure("ARI", paircount.adjustedRandIndex(), 0, 1, false); g.addMeasure("FowlkesMallows", paircount.fowlkesMallows(), 0, 1, false); Entropy entropy = contmat.getEntropy(); g = newGroup("Entropy based measures"); g.addMeasure("NMI Joint", entropy.entropyNMIJoint(), 0, 1, false); g.addMeasure("NMI Sqrt", entropy.entropyNMISqrt(), 0, 1, false); BCubed bcubed = contmat.getBCubed(); g = newGroup("BCubed-based measures"); g.addMeasure("F1-Measure", bcubed.f1Measure(), 0, 1, false); g.addMeasure("Recall", bcubed.recall(), 0, 1, false); g.addMeasure("Precision", bcubed.precision(), 0, 1, false); SetMatchingPurity setm = contmat.getSetMatching(); g = newGroup("Set-Matching-based measures"); g.addMeasure("F1-Measure", setm.f1Measure(), 0, 1, false); g.addMeasure("Purity", setm.purity(), 0, 1, false); g.addMeasure("Inverse Purity", setm.inversePurity(), 0, 1, false); EditDistance edit = contmat.getEdit(); g = newGroup("Editing-distance measures"); g.addMeasure("F1-Measure", edit.f1Measure(), 0, 1, false); g.addMeasure("Precision", edit.editDistanceFirst(), 0, 1, false); g.addMeasure("Recall", edit.editDistanceSecond(), 0, 1, false); MeanVariance gini = contmat.averageSymmetricGini(); g = newGroup("Gini measures"); g.addMeasure( "Mean +-" + FormatUtil.NF4.format(gini.getCount() > 1. ? gini.getSampleStddev() : 0.), gini.getMean(), 0, 1, false); }