diff --git a/demo/kaggle-higgs/README.md b/demo/kaggle-higgs/README.md
index b2ec971bd..2736b1326 100644
--- a/demo/kaggle-higgs/README.md
+++ b/demo/kaggle-higgs/README.md
@@ -7,4 +7,4 @@ run ./run.sh
 you need to compile xgboost python model in ../../python
 
 
-
+speedtest.py compares xgboost's speed on this dataset with sklearn
diff --git a/demo/kaggle-higgs/run.sh b/demo/kaggle-higgs/run.sh
index e6b5d91fa..c69426c25 100755
--- a/demo/kaggle-higgs/run.sh
+++ b/demo/kaggle-higgs/run.sh
@@ -1,4 +1,4 @@
 #!/bin/bash
 
-./higgs-numpy.py
-./higgs-pred.py
\ No newline at end of file
+python higgs-numpy.py
+python higgs-pred.py
\ No newline at end of file
diff --git a/demo/kaggle-higgs/speedtest.py b/demo/kaggle-higgs/speedtest.py
index d17c2680b..212389c01 100755
--- a/demo/kaggle-higgs/speedtest.py
+++ b/demo/kaggle-higgs/speedtest.py
@@ -1,4 +1,4 @@
-#!/usr/local/bin/python
+#!/usr/bin/python
 # this is the example script to use xgboost to train
 import sys
 import numpy as np
@@ -52,7 +52,7 @@ print "training GBM from sklearn"
 tmp = time.time()
 gbm = GradientBoostingClassifier(n_estimators=num_round, max_depth=6, verbose=2)
 gbm.fit(data, label)
-print "GBM costs: %s seconds" % str(time.time() - tmp)
+print "sklearn.GBM costs: %s seconds" % str(time.time() - tmp)
 #raw_input()
 print "training xgboost"
 threads = [1, 2, 4, 16]