diff --git a/Code/MonoMultiViewClassifiers/Multiview/Fusion/Methods/LateFusionPackage/SCMForLinear.py b/Code/MonoMultiViewClassifiers/Multiview/Fusion/Methods/LateFusionPackage/SCMForLinear.py
index d4b6980c1dcd52b580c622a458b95c06bcb425a6..29a879d4ddcdbb2f757df2a7e71bf8bf1eb3d1dc 100644
--- a/Code/MonoMultiViewClassifiers/Multiview/Fusion/Methods/LateFusionPackage/SCMForLinear.py
+++ b/Code/MonoMultiViewClassifiers/Multiview/Fusion/Methods/LateFusionPackage/SCMForLinear.py
@@ -62,7 +62,7 @@ def genParamsSets(classificationKWARGS, randomState, nIter=1):
         max_attributes = randomState.randint(1, 20)
         p = randomState.random_sample()
         model = randomState.choice(["conjunction", "disjunction"])
-        order = randomState.randint(1, nbView)
+        order = randomState.randint(1, 10)
         paramsSets.append([p, max_attributes, model, order])
     return paramsSets
 
@@ -123,7 +123,6 @@ class SCMForLinear(LateFusionClassifier):
         self.p = paramsSet[0]
         self.maxAttributes = paramsSet[1]
         self.order = paramsSet[3]
-        self.order = 2
         self.modelType = paramsSet[2]
 
     def fit_hdf5(self, DATASET, trainIndices=None, viewsIndices=None):
diff --git a/Code/Tests/Test_utils/test_execution.py b/Code/Tests/Test_utils/test_execution.py
index 0540a0d7dc3ff666c91d5734727e7cb4e105b65b..39984b898abdaf9149b9c886258c917319b04b18 100644
--- a/Code/Tests/Test_utils/test_execution.py
+++ b/Code/Tests/Test_utils/test_execution.py
@@ -71,3 +71,13 @@ class Test_genSplits(unittest.TestCase):
         self.assertGreater(len(np.where(self.labels[self.test_indices]==0)[0]), 0)
         self.assertGreater(len(np.where(self.labels[self.train_indices]==1)[0]), 0)
         self.assertGreater(len(np.where(self.labels[self.test_indices]==1)[0]), 0)
+
+class Test_genKFolds(unittest.TestCase):
+
+    def setUp(self):
+        self.statsIter = 2
+        self.nbFolds = 5
+        self.statsIterRandomStates = [np.random.RandomState(42), np.random.RandomState(94)]
+
+    def test_genKFolds_iter(self):
+        pass