That is good for making a test repeatable because you are picking the same
random sample repeatedly. For evaluation purposes here that's not a good
thing and you do want several actually different samples of the result.
On Jan 23, 2013 1:19 PM, "Stevo Slavić" wrote:
> When evaluating recommender
The stochastic nature of the evaluation means your results will vary
randomly from run to run. This looks to my eyeballs like most of the
variation you see. You probably want to average over many runs.
You will probably find that accuracy peaks around some neighborhood size:
adding more useful nei
When evaluating recommender before running evaluator put
RandomUtils.useTestSeed();
to make splitting of data set consistent; don't use it in production, just
for evaluation.
This is all explained more thoroughly in Mahout in Action book.
Kind regards,
Stevo Slavic.
On Wed, Jan 23, 2013 at 2:0
