diff --git a/tods/tests/sk_interface/detection_algorithm/test_ski_AutoRegODetector.py b/tods/tests/sk_interface/detection_algorithm/test_ski_AutoRegODetector.py
index 90b92c2..78b6bad 100644
--- a/tods/tests/sk_interface/detection_algorithm/test_ski_AutoRegODetector.py
+++ b/tods/tests/sk_interface/detection_algorithm/test_ski_AutoRegODetector.py
@@ -26,7 +26,6 @@ class AutoRegODetectorSKI_TestCase(unittest.TestCase):
         self.X_train, self.y_train, self.X_test, self.y_test = generate_data(
             n_train=self.n_train, n_test=self.n_test,
             contamination=self.contamination, random_state=42)
-        self.y_test = self.y_test[self.window_size:]
         self.y_train = self.y_train[self.window_size:]
 
         self.transformer = AutoRegODetectorSKI(contamination=self.contamination, window_size=self.window_size)
diff --git a/tods/tests/sk_interface/detection_algorithm/test_ski_LSTMODetector.py b/tods/tests/sk_interface/detection_algorithm/test_ski_LSTMODetector.py
index bfe11df..4c38131 100644
--- a/tods/tests/sk_interface/detection_algorithm/test_ski_LSTMODetector.py
+++ b/tods/tests/sk_interface/detection_algorithm/test_ski_LSTMODetector.py
@@ -26,7 +26,7 @@ class LSTMODetectorSKI_TestCase(unittest.TestCase):
             n_train=self.n_train, n_test=self.n_test,
             contamination=self.contamination, random_state=42)
 
-        self.y_test = self.y_test[1:]
+        #self.y_test = self.y_test[1:]
         self.y_train = self.y_train[1:]
 
 
diff --git a/tods/tests/sk_interface/detection_algorithm/test_ski_PCAODetector.py b/tods/tests/sk_interface/detection_algorithm/test_ski_PCAODetector.py
index 6a1127d..723aa80 100644
--- a/tods/tests/sk_interface/detection_algorithm/test_ski_PCAODetector.py
+++ b/tods/tests/sk_interface/detection_algorithm/test_ski_PCAODetector.py
@@ -22,11 +22,14 @@ class PCAODetectorSKI_TestCase(unittest.TestCase):
         self.n_test = 100
         self.contamination = 0.1
         self.roc_floor = 0.0
+        self.window_size = 5
         self.X_train, self.y_train, self.X_test, self.y_test = generate_data(
             n_train=self.n_train, n_test=self.n_test,
             contamination=self.contamination, random_state=42)
 
-        self.transformer = PCAODetectorSKI(contamination=self.contamination)
+
+        self.transformer = PCAODetectorSKI(contamination=self.contamination, window_size=self.window_size)
+        self.y_test = self.y_test[self.window_size-1:]
         self.transformer.fit(self.X_train)
 
     def test_prediction_labels(self):