[DL-Learner SVN] SF.net SVN: dl-learner:[1800] trunk/src/dl-learner/org/dllearner

[<jen...@us...>]

Revision: 1800
          http://dl-learner.svn.sourceforge.net/dl-learner/?rev=1800&view=rev
Author:   jenslehmann
Date:     2009-06-16 06:23:58 +0000 (Tue, 16 Jun 2009)

Log Message:
-----------
extended eval script

Modified Paths:
--------------
    trunk/src/dl-learner/org/dllearner/scripts/evaluation/OntologyEngineering.java
    trunk/src/dl-learner/org/dllearner/utilities/owl/EvaluatedDescriptionSet.java
    trunk/src/dl-learner/org/dllearner/utilities/statistics/Stat.java

Modified: trunk/src/dl-learner/org/dllearner/scripts/evaluation/OntologyEngineering.java
===================================================================
--- trunk/src/dl-learner/org/dllearner/scripts/evaluation/OntologyEngineering.java	2009-06-15 13:22:29 UTC (rev 1799)
+++ trunk/src/dl-learner/org/dllearner/scripts/evaluation/OntologyEngineering.java	2009-06-16 06:23:58 UTC (rev 1800)
@@ -43,6 +43,7 @@
 import org.dllearner.core.configurators.CELOEConfigurator;
 import org.dllearner.core.owl.Individual;
 import org.dllearner.core.owl.NamedClass;
+import org.dllearner.core.owl.Thing;
 import org.dllearner.kb.OWLFile;
 import org.dllearner.learningproblems.ClassLearningProblem;
 import org.dllearner.learningproblems.EvaluatedDescriptionClass;
@@ -189,11 +190,11 @@
 					} else {
 						accStatSC.addNumber(bestAcc);
 					}
-					if (bestAcc < minAccuracy) {
+					if (bestAcc < minAccuracy || (best.getDescription() instanceof Thing)) {
 						System.out
 								.println("The algorithm did not find a suggestion with an accuracy above the threshold of "
 										+ (100 * minAccuracy)
-										+ "%. (The best one was \""
+										+ "% or the best description is not appropriate. (The best one was \""
 										+ best.getDescription().toManchesterSyntaxString(baseURI,
 												prefixes)
 										+ "\" with an accuracy of "
@@ -347,6 +348,8 @@
 		System.out.println("axioms learned succesfully: " + foundDescriptionCount);
 		System.out.println("axioms missed: " + missesCount);
 		System.out.println("class with no sensible axioms: " + noSensibleDescriptionCount);
+		System.out.println("inconsistencies detected: " + inconsistencyDetected);
+		System.out.println("additional instances found: " + moreInstancesCountStat.prettyPrint(""));
 		System.out.println("average accuracy overall: " + accStat.prettyPrint(""));
 		System.out.println("average accuracy of selected expressions: "
 				+ accSelectedStat.prettyPrint(""));
@@ -362,6 +365,8 @@
 		System.out.println("axioms learned succesfully: " + foundDescriptionCountSC);
 		System.out.println("axioms missed: " + missesCountSC);
 		System.out.println("class with no sensible axioms: " + noSensibleDescriptionCountSC);
+		System.out.println("inconsistencies detected: " + inconsistencyDetectedSC);
+		System.out.println("additional instances found: " + moreInstancesCountStatSC.prettyPrint(""));
 		System.out.println("average accuracy overall: " + accStatSC.prettyPrint(""));
 		System.out.println("average accuracy of selected expressions: "
 				+ accSelectedStatSC.prettyPrint(""));

Modified: trunk/src/dl-learner/org/dllearner/utilities/owl/EvaluatedDescriptionSet.java
===================================================================
--- trunk/src/dl-learner/org/dllearner/utilities/owl/EvaluatedDescriptionSet.java	2009-06-15 13:22:29 UTC (rev 1799)
+++ trunk/src/dl-learner/org/dllearner/utilities/owl/EvaluatedDescriptionSet.java	2009-06-16 06:23:58 UTC (rev 1800)
@@ -86,11 +86,11 @@
 	}
 	
 	public EvaluatedDescription getBest() {
-		return set.last();
+		return set.size()==0 ? null : set.last();
 	}
 	
 	public EvaluatedDescription getWorst() {
-		return set.first();
+		return set.size()==0 ? null : set.first();
 	}
 	
 	/**

Modified: trunk/src/dl-learner/org/dllearner/utilities/statistics/Stat.java
===================================================================
--- trunk/src/dl-learner/org/dllearner/utilities/statistics/Stat.java	2009-06-15 13:22:29 UTC (rev 1799)
+++ trunk/src/dl-learner/org/dllearner/utilities/statistics/Stat.java	2009-06-16 06:23:58 UTC (rev 1800)
@@ -133,7 +133,8 @@
 			String str = "av. " + df.format(getMean()) + unit;
 			str += " (deviation " + df.format(getStandardDeviation()) + unit + "; ";
 			str += "min " + df.format(getMin()) + unit + "; ";
-			str += "max " + df.format(getMax()) + unit + ")";
+			str += "max " + df.format(getMax()) + unit + "; ";
+			str += "count " + count + ")";
 			return str;
 		} else {
 			return "no data collected";


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