diff --git a/python-scikit-learn.spec b/python-scikit-learn.spec
index 9cbd2a4..d5c331e 100644
--- a/python-scikit-learn.spec
+++ b/python-scikit-learn.spec
@@ -21,7 +21,7 @@ Source1: system-six.py
 Source2: system-joblib.py
 Patch0: sklearn-unbundle-joblib.patch
 Patch1: blas-name.patch
-Patch2: sklean-np11.patch
+Patch2: sklearn-np11.patch
 
 BuildRequires: python2-devel python3-devel
 BuildRequires: atlas-devel blas-devel
@@ -95,7 +95,7 @@ pushd %{buildroot}/%{python3_sitearch}
 popd
 
 pushd %{buildroot}/%{python2_sitearch}
-# nosetests-%{python2_version} -x sklearn
+ nosetests-%{python2_version} -x sklearn
 popd
  
 %files -n python2-%{srcname}
diff --git a/sklean-np11.patch b/sklean-np11.patch
deleted file mode 100644
index dc9d1e5..0000000
--- a/sklean-np11.patch
+++ /dev/null
@@ -1,12 +0,0 @@
-diff -ur scikit-learn-0.17.1/sklearn/feature_selection/univariate_selection.py scikit-learn-0.17.1.np11/sklearn/feature_selection/univariate_selection.py
---- scikit-learn-0.17.1/sklearn/feature_selection/univariate_selection.py	2016-02-18 19:00:45.000000000 +0100
-+++ scikit-learn-0.17.1.np11/sklearn/feature_selection/univariate_selection.py	2016-03-29 16:51:42.312649582 +0200
-@@ -403,7 +403,7 @@
-         mask = scores > treshold
-         ties = np.where(scores == treshold)[0]
-         if len(ties):
--            max_feats = len(scores) * self.percentile // 100
-+            max_feats = int(len(scores) * self.percentile / 100)
-             kept_ties = ties[:max_feats - mask.sum()]
-             mask[kept_ties] = True
-         return mask
diff --git a/sklearn-np11.patch b/sklearn-np11.patch
new file mode 100644
index 0000000..dc9d1e5
--- /dev/null
+++ b/sklearn-np11.patch
@@ -0,0 +1,12 @@
+diff -ur scikit-learn-0.17.1/sklearn/feature_selection/univariate_selection.py scikit-learn-0.17.1.np11/sklearn/feature_selection/univariate_selection.py
+--- scikit-learn-0.17.1/sklearn/feature_selection/univariate_selection.py	2016-02-18 19:00:45.000000000 +0100
++++ scikit-learn-0.17.1.np11/sklearn/feature_selection/univariate_selection.py	2016-03-29 16:51:42.312649582 +0200
+@@ -403,7 +403,7 @@
+         mask = scores > treshold
+         ties = np.where(scores == treshold)[0]
+         if len(ties):
+-            max_feats = len(scores) * self.percentile // 100
++            max_feats = int(len(scores) * self.percentile / 100)
+             kept_ties = ties[:max_feats - mask.sum()]
+             mask[kept_ties] = True
+         return mask