scikit-learn
diff --git a/‎doc/whats_new/v0.22.rst
+4 b/‎doc/whats_new/v0.22.rst
+4
diff --git a/‎sklearn/metrics/_plot/confusion_matrix.py
+1-1 b/‎sklearn/metrics/_plot/confusion_matrix.py
+1-1
diff --git a/‎sklearn/metrics/_plot/tests/test_plot_confusion_matrix.py
+16-2 b/‎sklearn/metrics/_plot/tests/test_plot_confusion_matrix.py
+16-2
@@ -42,6 +42,10 @@ Changelog
   is invalid. Previously, it runs fine with no normalization.
   :pr:`15888` by `Hanmin Qin`_.
 
+- |Fix| :func:`metrics.plot_confusion_matrix` now colors the label color
+  correctly to maximize contrast with its background. :pr:`15936` by
+  `Thomas Fan`_ and :user:`DizietAsahi`.
+
 :mod:`sklearn.utils`
 ....................
 
 
@@ -93,7 +93,7 @@ def plot(self, include_values=True, cmap='viridis',
                 values_format = '.2g'
 
             # print text with appropriate color depending on background
-            thresh = (cm.max() - cm.min()) / 2.
+            thresh = (cm.max() + cm.min()) / 2.0
             for i, j in product(range(n_classes), range(n_classes)):
                 color = cmap_max if cm[i, j] < thresh else cmap_min
                 self.text_[i, j] = ax.text(j, i,
 
@@ -200,7 +200,7 @@ def test_confusion_matrix_contrast(pyplot):
     assert_allclose(disp.text_[0, 0].get_color(), [0.0, 0.0, 0.0, 1.0])
     assert_allclose(disp.text_[1, 1].get_color(), [0.0, 0.0, 0.0, 1.0])
 
-    # oof-diagonal text is white
+    # off-diagonal text is white
     assert_allclose(disp.text_[0, 1].get_color(), [1.0, 1.0, 1.0, 1.0])
     assert_allclose(disp.text_[1, 0].get_color(), [1.0, 1.0, 1.0, 1.0])
 
@@ -209,10 +209,24 @@ def test_confusion_matrix_contrast(pyplot):
     assert_allclose(disp.text_[0, 1].get_color(), [0.0, 0.0, 0.0, 1.0])
     assert_allclose(disp.text_[1, 0].get_color(), [0.0, 0.0, 0.0, 1.0])
 
-    # oof-diagonal text is black
+    # off-diagonal text is black
     assert_allclose(disp.text_[0, 0].get_color(), [1.0, 1.0, 1.0, 1.0])
     assert_allclose(disp.text_[1, 1].get_color(), [1.0, 1.0, 1.0, 1.0])
 
+    # Regression test for #15920
+    cm = np.array([[19, 34], [32, 58]])
+    disp = ConfusionMatrixDisplay(cm, display_labels=[0, 1])
+
+    disp.plot(cmap=pyplot.cm.Blues)
+    min_color = pyplot.cm.Blues(0)
+    max_color = pyplot.cm.Blues(255)
+    assert_allclose(disp.text_[0, 0].get_color(), max_color)
+    assert_allclose(disp.text_[0, 1].get_color(), max_color)
+    assert_allclose(disp.text_[1, 0].get_color(), max_color)
+    assert_allclose(disp.text_[1, 1].get_color(), min_color)
+
+
+
 
 @pytest.mark.parametrize(
     "clf", [LogisticRegression(),