Updated stratified MxK fold run separate test.

Author: Olcay Taner YILDIZ

Classification/Experiment/StratifiedKFoldRunSeparateTest.py

@@ -40,7 +40,7 @@ def execute(self, experiment: Experiment) -> ExperimentPerformance:
                               ratio=0.25,
                               seed=experiment.getParameter().getSeed(),
                               stratified=True)
-        cross_validation = StratifiedKFoldCrossValidation(instanceLists=Partition(partition.get(1)).getLists(),
+        cross_validation = StratifiedKFoldCrossValidation(instance_lists=Partition(partition.get(1)).getLists(),
                                                          K=self.K,
                                                          seed=experiment.getParameter().getSeed())
         self.runExperimentSeparate(classifier=experiment.getClassifier(),

Classification/Experiment/StratifiedMxKFoldRunSeparateTest.py

@@ -29,13 +29,13 @@ def __init__(self,
 
     def execute(self, experiment: Experiment) -> ExperimentPerformance:
         result = ExperimentPerformance()
+        instance_list = experiment.getDataSet().getInstanceList()
+        partition = Partition(instanceList=instance_list,
+                              ratio=0.25,
+                              seed=experiment.getParameter().getSeed(),
+                              stratified=True)
         for j in range(self.M):
-            instance_list = experiment.getDataSet().getInstanceList()
-            partition = Partition(instanceList=instance_list,
-                                  ratio=0.25,
-                                  seed=experiment.getParameter().getSeed(),
-                                  stratified=True)
-            cross_validation = StratifiedKFoldCrossValidation(instanceLists=Partition(partition.get(1)).getLists(),
+            cross_validation = StratifiedKFoldCrossValidation(instance_lists=Partition(partition.get(1)).getLists(),
                                                              K=self.K,
                                                              seed=experiment.getParameter().getSeed())
             self.runExperimentSeparate(classifier=experiment.getClassifier(),

Classification/Experiment/StratifiedSingleRunWithK.py

@@ -35,7 +35,7 @@ def execute(self, experiment: Experiment) -> Performance:
         Performance
             A Performance instance.
         """
-        cross_validation = StratifiedKFoldCrossValidation(instanceLists=experiment.getDataSet().getClassInstances(),
+        cross_validation = StratifiedKFoldCrossValidation(instance_lists=experiment.getDataSet().getClassInstances(),
                                                          K=self.__K,
                                                          seed=experiment.getParameter().getSeed())
         train_set = InstanceList(cross_validation.getTrainFold(0))