change

source/classifierManager/scriptMerge/scriptClassifierMerge.py

@@ -83,7 +83,7 @@ class ScriptClassifierMerge(ScriptClassifier):
 
         confusionMatrix = np.transpose(confusion_matrix(test_y, pred_y))
         # in case no success individus and confusion matrix will be [[x]]
-        if (len(confusionMatrix) == 1):
+        if (len(confusionMatrix) == 0):
             confusionMatrix = np.array([[0, 0], [0, confusionMatrix[0][0]]])
         accuracy = accuracy_score(test_y, pred_y)