diff --git a/doc/cookbook/source/examples/classifier/knn.rst b/doc/cookbook/source/examples/classifier/knn.rst
index d19ac6ae7b4..403f969d3f3 100644
--- a/doc/cookbook/source/examples/classifier/knn.rst
+++ b/doc/cookbook/source/examples/classifier/knn.rst
@@ -18,9 +18,9 @@ See :sgissue:`2996` for known issues.
 Example
 -------
 
-Load some training and test data.
+Imagine we have files with training and test data. We create :sgclass:`CDenseFeatures` (here 64 bit floats aka RealFeatures) and :sgclass:`CMulticlassLabels` as
 
-.. sgexample:: knn.sg:load_data
+.. sgexample:: knn.sg:create_features
 
 In order to run :sgclass:`CKNN`, we need to choose a distance, for example :sgclass:`CEuclideanDistance`, or other sub-classes of :sgclass:`CDistance`. The distance is initialized with the data we want to classify.
 
diff --git a/examples/meta/src/classifier/knn.sg b/examples/meta/src/classifier/knn.sg
index d63fe326a19..019726ce358 100644
--- a/examples/meta/src/classifier/knn.sg
+++ b/examples/meta/src/classifier/knn.sg
@@ -1,15 +1,15 @@
-#![load_data]
 CSVFile f_feats_train("../data/classifier_4class_2d_linear_features_train.dat")
 CSVFile f_feats_test("../data/classifier_4class_2d_linear_features_test.dat")
 CSVFile f_labels_train("../data/classifier_4class_2d_linear_labels_train.dat")
 CSVFile f_labels_test("../data/classifier_4class_2d_linear_labels_test.dat")
 
+#![create_features]
 RealFeatures features_train(f_feats_train)
 RealFeatures features_test(f_feats_test)
 MulticlassLabels labels_train(f_labels_train)
 MulticlassLabels labels_test(f_labels_test)
+#![create_features]
 
-#![load_data]
 
 #![choose_distance]
 EuclideanDistance distance(features_train, features_test)