Changeset 44 for trunk/CrossPare/src/de/ugoe/cs/cpdp/eval

Timestamp:

11/17/15 20:42:08 (9 years ago)

Author:

atrautsch

Message:

metric matching hinzu

File:

• trunk/CrossPare/src/de/ugoe/cs/cpdp/eval/AbstractWekaEvaluation.java (modified) (4 diffs)

trunk/CrossPare/src/de/ugoe/cs/cpdp/eval/AbstractWekaEvaluation.java

@@ -123 +123 @@
                 output.append(",tn_" + ((IWekaCompatibleTrainer) trainer).getName());
                 output.append(",fp_" + ((IWekaCompatibleTrainer) trainer).getName());
-                output.append(",trainerror_" + ((IWekaCompatibleTrainer) trainer).getName());
-                output.append(",trainrecall_" + ((IWekaCompatibleTrainer) trainer).getName());
-                output.append(",trainprecision_" + ((IWekaCompatibleTrainer) trainer).getName());
-                output.append(",trainsuccHe_" + ((IWekaCompatibleTrainer) trainer).getName());
+                //output.append(",trainerror_" + ((IWekaCompatibleTrainer) trainer).getName());
+                //output.append(",trainrecall_" + ((IWekaCompatibleTrainer) trainer).getName());
+                //output.append(",trainprecision_" + ((IWekaCompatibleTrainer) trainer).getName());
+                //output.append(",trainsuccHe_" + ((IWekaCompatibleTrainer) trainer).getName());
             }
             output.append(StringTools.ENDLINE);
@@ -136 +136 @@
 
         Evaluation eval = null;
-        Evaluation evalTrain = null;
+        //Evaluation evalTrain = null;
         for (Classifier classifier : classifiers) {
             eval = createEvaluator(testdata, classifier);
-            evalTrain = createEvaluator(traindata, classifier);
+            //evalTrain = createEvaluator(traindata, classifier);
 
             double pf =
@@ -195 +195 @@
             output.append("," + eval.numTrueNegatives(1));
             output.append("," + eval.numFalsePositives(1));
-            output.append("," + evalTrain.errorRate());
+            /*output.append("," + evalTrain.errorRate());
             output.append("," + evalTrain.recall(1));
             output.append("," + evalTrain.precision(1));
@@ -203 +203 @@
             else {
                 output.append(",0");
-            }
+            }*/
         }