diff --git a/examples/meta/src/classifier/knn.sg b/examples/meta/src/classifier/knn.sg
index 4b24c11cce2..b20d170e61c 100644
--- a/examples/meta/src/classifier/knn.sg
+++ b/examples/meta/src/classifier/knn.sg
@@ -1,38 +1,3 @@
-## -*- coding: utf-8 -*-
-## vim: set fileencoding=utf-8
-##
-## Copyright (c) 2016, Shogun-Toolbox e.V. <shogun-team@shogun-toolbox.org>
-## All rights reserved.
-##
-## Redistribution and use in source and binary forms, with or without
-## modification, are permitted provided that the following conditions are met:
-##
-##  1. Redistributions of source code must retain the above copyright notice,
-##     this list of conditions and the following disclaimer.
-##
-##  2. Redistributions in binary form must reproduce the above copyright
-##     notice, this list of conditions and the following disclaimer in the
-##     documentation and/or other materials provided with the distribution.
-##
-##  3. Neither the name of the copyright holder nor the names of its
-##     contributors may be used to endorse or promote products derived from
-##     this software without specific prior written permission.
-##
-## THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
-## AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
-## IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
-## ARE DISCLAIMED.  IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE
-## LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
-## CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
-## SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
-## INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
-## CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
-## ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
-## POSSIBILITY OF SUCH DAMAGE.
-##
-## Authors: Heiko Strathmann
-##
-
 #![load_data]
 CSVFile f_feats_train("../data/fm_train_real.dat")
 RealFeatures feats_train(f_feats_train)
@@ -61,8 +26,17 @@ RealMatrix mat = feats_train.get_feature_matrix()
 
 #119 is char for 'w'
 SerializableAsciiFile f_results("knn_results.txt", 119)
+SerializableAsciiFile f_names("knn_names.txt", 119)
 
 DynamicObjectArray results()
+DynamicObjectArray result_names()
+
 results.append_element_wrapped(output)
+result_names.append_element_wrapped("output")
+
 results.append_element_wrapped(mat)
+result_names.append_element_wrapped("mat")
+
 results.save_serializable(f_results)
+result_names.save_serializable(f_names)
+