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
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 volkana...@gmail.com
wrote:
The results in MulticlassMetrics is totally wrong. They are improperly
calculated.
Confusion matrix may be true I don't know but for
Also, what version of Spark are you using?
On Wed, Aug 5, 2015 at 9:57 AM, Feynman Liang fli...@databricks.com 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 volkana...@gmail.com
wrote:
The results
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 volkana...@gmail.com
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
