.

Author: siyangimda

evaluation.rst

@@ -723,9 +723,10 @@ https://automl.github.io/auto-sklearn/master/
     import sklearn.metrics
 
     X, y = sklearn.datasets.load_digits(return_X_y=True)
-    X_train, X_test, y_train, y_test = \
-            sklearn.model_selection.train_test_split(X, y, random_state=1)
+    X_train, X_test, y_train, y_test = sklearn.model_selection.train_test_split(X, y, random_state=1)
+
     automl = autosklearn.classification.AutoSklearnClassifier()
     automl.fit(X_train, y_train)
-    y_hat = automl.predict(X_test)
-    print("Accuracy score", sklearn.metrics.accuracy_score(y_test, y_hat))
+
+    y_pred = automl.predict(X_test)
+    print("Accuracy score", sklearn.metrics.accuracy_score(y_test, y_pred))