1.5 has not yet been released; what is the commit hash that you are building?
On Wed, Aug 5, 2015 at 10:29 AM, Hayri Volkan Agun <[email protected]> wrote: > Hi, > > In Spark 1.5 I saw a result for precision 1.0 and recall 0.01 for decision > tree classification. > While precision a hundred the recall shouldn't be so small...I checked the > code, everything seems ok > but why I got such a result is unexplainable. As far as I understand from > scala code the row sum is the actual > class counts, the column sum is predictions sum am I right? > I am doing additional tests for comparison with my own code... > I attached a document for my reuters tests on page 3. > > > On Wed, Aug 5, 2015 at 7:57 PM, Feynman Liang <[email protected]> > wrote: > >> Also, what version of Spark are you using? >> >> On Wed, Aug 5, 2015 at 9:57 AM, Feynman Liang <[email protected]> >> wrote: >> >>> Hi Hayri, >>> >>> Can you provide a sample of the expected and actual results? >>> >>> Feynman >>> >>> On Wed, Aug 5, 2015 at 6:19 AM, Hayri Volkan Agun <[email protected]> >>> wrote: >>> >>>> The results in MulticlassMetrics is totally wrong. They are improperly >>>> calculated. >>>> Confusion matrix may be true I don't know but for each label scores are >>>> wrong. >>>> >>>> -- >>>> Hayri Volkan Agun >>>> PhD. Student - Anadolu University >>>> >>> >>> >> > > > -- > Hayri Volkan Agun > PhD. Student - Anadolu University >
