A 20% spread in what? Speed? Results? Iterations?
On Mon, Aug 30, 2010 at 11:26 PM, Lance Norskog <[email protected]> wrote: > SVDRecommender is really sensitive to the random number seed. AADRE > gives about a 20% spread in its evaluations. (I have only tried > AverageAbsoluteDifferenceRecommenderEvaluator.) > > This test is on the GroupLens small 10k dataset. I'm using the example > GroupLensEvaluatorRunner.main. I substituted the SVDRecommender for > the > SlopeOneRecommender in the example. Otherwise it is the GroupLens > example. How many features and how many iterations are needed before > the sensitivity converges? Testing all combination ranges is a little > tedious on my laptop. > > Thanks! > > -- > Lance Norskog > [email protected] >
