scikit-learn-bot
diff --git a/‎examples/linear_model/plot_logistic_multinomial.py
Copy file name to clipboardExpand all lines: examples/linear_model/plot_logistic_multinomial.py
+1-3Lines changed: 1 addition & 3 deletions b/‎examples/linear_model/plot_logistic_multinomial.py
Copy file name to clipboardExpand all lines: examples/linear_model/plot_logistic_multinomial.py
+1-3Lines changed: 1 addition & 3 deletions
@@ -46,9 +46,7 @@
     colors = "bry"
     for i, color in zip(clf.classes_, colors):
         idx = np.where(y == i)
-        plt.scatter(
-            X[idx, 0], X[idx, 1], c=color, cmap=plt.cm.Paired, edgecolor="black", s=20
-        )
+        plt.scatter(X[idx, 0], X[idx, 1], c=color, edgecolor="black", s=20)
 
     # Plot the three one-against-all classifiers
     xmin, xmax = plt.xlim()