It's something like the average error in rating, but a bit different
-- it's the square root of average squared error. But if you think of
the ratings as 'stars' you could kind of think of 0.86 as 'generally
off by 0.86' stars and that would be somewhat right.
Whether that's good depends on what t
; > Cheers
>> >
>> >
>> > On Mon, Feb 23, 2015 at 12:37 PM, Xiangrui Meng
>> wrote:
>> >>
>> >> Which Spark version did you use? Btw, there ar
sets from
> >> MovieLens. The tutorial used the medium one (1 million). -Xiangrui
> >>
> >> On Mon, Feb 23, 2015 at 8:36 AM, poiuytrez
> >> wrote:
> >> > What do you mean?
> >> >
> >> >
&
e? Btw, there are three datasets from
>> MovieLens. The tutorial used the medium one (1 million). -Xiangrui
>>
>> On Mon, Feb 23, 2015 at 8:36 AM, poiuytrez
>> wrote:
>> > What do you mean?
>> >
>> >
>> >
>> > --
>> > View th
. -Xiangrui
>
> On Mon, Feb 23, 2015 at 8:36 AM, poiuytrez
> wrote:
> > What do you mean?
> >
> >
> >
> > --
> > View this message in context:
> http://apache-spark-user-list.1001560.n3.nabble.com/Movie-Recommendation-tutorial-tp21769p21771.htm
-user-list.1001560.n3.nabble.com/Movie-Recommendation-tutorial-tp21769p21771.html
> Sent from the Apache Spark User List mailing list archive at Nabble.com.
>
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