test time longer than training time in the performance graph

[prakhar2b]

@giacbrd @tmylk While running this document classification script, the performance graph generated shows training time to be lesser than test time.

But if we look closely, the training time is actually longer than test time for all the classifier. Here is the log

I think this is not the right way to convert the result into a range of (0,1) on the same axis

training_time = np.array(training_time) / np.max(training_time)
test_time = np.array(test_time) / np.max(test_time)

[giacbrd]

Hi,
yes that way of plotting times is not so nice.
Test times are NOT comparable to training times, the bars are plotted independently and relatively to the two types of times.

The code is exactly as in http://scikit-learn.org/stable/auto_examples/text/document_classification_20newsgroups.html , but I may fix it for ShallowLearn