diff --git a/miqa/learning/correlator.py b/miqa/learning/correlator.py
index 1cede05c..ad3e9af9 100644
--- a/miqa/learning/correlator.py
+++ b/miqa/learning/correlator.py
@@ -1,7 +1,7 @@
 #!/usr/bin/env python3
 
 import pandas as pd
-from sklearn.metrics import confusion_matrix
+from scikit_learn.metrics import confusion_matrix
 
 df = pd.read_csv('M:/MIQA/data.csv')  # manually converted TRUE/FALSE into 1/0
 print(f'count NaN: {df.isnull().sum().sum()}')
diff --git a/miqa/learning/nn_inference.py b/miqa/learning/nn_inference.py
index 771908e6..faa723c2 100644
--- a/miqa/learning/nn_inference.py
+++ b/miqa/learning/nn_inference.py
@@ -4,7 +4,12 @@
 import itk
 import monai
 import numpy as np
-from sklearn.metrics import classification_report, confusion_matrix, mean_squared_error, r2_score
+from scikit_learn.metrics import (
+    classification_report,
+    confusion_matrix,
+    mean_squared_error,
+    r2_score,
+)
 import torch
 from torch.utils.data import DataLoader
 import torchio
diff --git a/miqa/learning/nn_training.py b/miqa/learning/nn_training.py
index a7995271..d1ccc6d3 100755
--- a/miqa/learning/nn_training.py
+++ b/miqa/learning/nn_training.py
@@ -21,7 +21,7 @@
 )
 import numpy as np
 import pandas as pd
-from sklearn.metrics import confusion_matrix
+from scikit_learn.metrics import confusion_matrix
 import torch
 from torch.utils.data import DataLoader
 from torch.utils.tensorboard import SummaryWriter
diff --git a/setup.py b/setup.py
index 1368c35a..fa55fc8d 100644
--- a/setup.py
+++ b/setup.py
@@ -73,7 +73,7 @@
         'learning': [
             'itk>=5.3rc4',
             'monai',
-            'sklearn',
+            'scikit-learn',
             'torch',
             'torchio',
             'wandb',