DOC Add random_state to all classifiers in plot_classifier_comparison.py (scikit-learn#26968)

TamaraAtanasoska · AnnaWey · REDVM · commit 8461c90b933c · 2023-11-16T16:28:15.000+01:00
Co-authored-by: AnnaWey &lt;annawey@mail.de&gt;
diff --git a/examples/classification/plot_classifier_comparison.py b/examples/classification/plot_classifier_comparison.py
@@ -58,13 +58,15 @@
 
 classifiers = [
     KNeighborsClassifier(3),
-    SVC(kernel="linear", C=0.025),
-    SVC(gamma=2, C=1),
-    GaussianProcessClassifier(1.0 * RBF(1.0)),
-    DecisionTreeClassifier(max_depth=5),
-    RandomForestClassifier(max_depth=5, n_estimators=10, max_features=1),
-    MLPClassifier(alpha=1, max_iter=1000),
-    AdaBoostClassifier(),
+    SVC(kernel="linear", C=0.025, random_state=42),
+    SVC(gamma=2, C=1, random_state=42),
+    GaussianProcessClassifier(1.0 * RBF(1.0), random_state=42),
+    DecisionTreeClassifier(max_depth=5, random_state=42),
+    RandomForestClassifier(
+        max_depth=5, n_estimators=10, max_features=1, random_state=42
+    ),
+    MLPClassifier(alpha=1, max_iter=1000, random_state=42),
+    AdaBoostClassifier(random_state=42),
     GaussianNB(),
     QuadraticDiscriminantAnalysis(),
 ]
