Re: Label based MLLib MulticlassMetrics is buggy

2015-08-05 Thread Feynman Liang
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 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

Re: Label based MLLib MulticlassMetrics is buggy

2015-08-05 Thread Feynman Liang
Also, what version of Spark are you using? On Wed, Aug 5, 2015 at 9:57 AM, Feynman Liang 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 > wrote: > >> The results in MulticlassMetrics is totall

Re: Label based MLLib MulticlassMetrics is buggy

2015-08-05 Thread Feynman Liang
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 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 a

Label based MLLib MulticlassMetrics is buggy

2015-08-05 Thread Hayri Volkan Agun
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