diff --git a/deepface/DeepFace.py b/deepface/DeepFace.py
index 346f1a8..d6aa120 100644
--- a/deepface/DeepFace.py
+++ b/deepface/DeepFace.py
@@ -280,7 +280,7 @@ def analyze(img_path, actions = ('emotion', 'age', 'gender', 'race') , models =
 			models['age'] = DeepFace.build_model('Age')
 			models['gender'] = DeepFace.build_model('Gender')
 			models['emotion'] = DeepFace.build_model('Emotion')
-			models['race'] = DeepFace.build_model('race')
+			models['race'] = DeepFace.build_model('Race')
 
 		enforce_detection (boolean): The function throws exception if a face could not be detected. Set this to True if you don't want to get exception. This might be convenient for low resolution images.
 
diff --git a/setup.py b/setup.py
index c1d7bfb..5286df9 100644
--- a/setup.py
+++ b/setup.py
@@ -5,7 +5,7 @@ with open("README.md", "r", encoding="utf-8") as fh:
 
 setuptools.setup(
     name="deepface",
-    version="0.0.74",
+    version="0.0.75",
     author="Sefik Ilkin Serengil",
     author_email="serengil@gmail.com",
     description="A Lightweight Face Recognition and Facial Attribute Analysis Framework (Age, Gender, Emotion, Race) for Python",
diff --git a/tests/Ensemble-Face-Recognition.py b/tests/Ensemble-Face-Recognition.py
index 9c41ae0..3e8c491 100644
--- a/tests/Ensemble-Face-Recognition.py
+++ b/tests/Ensemble-Face-Recognition.py
@@ -206,7 +206,7 @@ gbm.save_model("face-recognition-ensemble-model.txt")
 #--------------------------
 #Evaluation
 
-predictions = gbm.predict(x_test)
+prediction_classes = gbm.predict(x_test)
 
 prediction_classes = []
 for prediction in predictions: