Fixed incorrect comment.

davisking · davisking · commit d4fcaba87aa9 · 2014-03-02T11:59:31.000-05:00
diff --git a/python_examples/train_object_detector.py b/python_examples/train_object_detector.py
@@ -44,7 +44,7 @@
 # SVM C parameter.  In general, a bigger C encourages it to fit the training
 # data better but might lead to overfitting.  You must find the best C value
 # empirically by checking how well the trained detector works on a test set of
-# images you haven't trained on.  Don't just leave the value set at 1.  Try a
+# images you haven't trained on.  Don't just leave the value set at 5.  Try a
 # few different C values and see what works best for your data.
 options.C = 5 
 # Tell the code how many CPU cores your computer has for the fastest training.
