Hi thushan,

We need more info. What did you exactly print and where?

On Tue, Aug 11, 2015 at 12:47 PM, Thushan Ganegedara <thu...@gmail.com>
wrote:

> Hi,
>
> I found the potential cause of the poor accuracy for the leaf dataset. It
> seems the data read into ML is wrong.
>
> I have attached the data file as a CSV (classes are in the last column)
>
> However, when I print out the labels of the read data (classes), it looks
> something like below. Clearly there aren't this many "3.0" classes and
> there should be classes up to 36.0.
>
> Is this caused by a bug?
>
> 1.0     1.0     1.0     1.0     1.0     1.0     1.0     1.0     1.0
> 1.0     1.0     1.0     12.0    12.0    12.0    12.0    12.0    12.0
> 12.0    12.0    12.0    12.0    13.0    13.0    13.0    13.0    13.0    13.0
> 13.0    13.0    13.0    13.0    14.0    14.0    14.0    14.0    14.0
> 14.0    14.0    14.0    15.0    15.0    15.0    15.0    15.0    15.0
> 15.0    15.0    15.0    15.0    15.0    15.0    16.0    16.0    16.0    16.0
> 16.0    16.0    16.0    16.0    17.0    17.0    17.0    17.0    17.0
> 17.0    17.0    17.0    17.0    17.0    18.0    18.0    18.0    18.0
> 18.0    18.0    18.0    18.0    18.0    18.0    18.0    19.0    19.0    19.0
> 19.0    19.0    19.0    19.0    19.0    19.0    19.0    19.0    19.0
> 19.0    19.0    2.0     2.0     2.0     2.0     2.0     2.0     2.0
> 2.0     2.0     2.0     2.0     2.0     2.0     3.0     3.0     3.0     3.0
> 3.0     3.0     3.0     3.0     3.0     3.0     3.0     3.0     3.0
> 3.0     3.0     3.0     4.0     4.0     4.0     4.0     4.0     4.0
> 4.0     4.0     4.0     4.0     4.0     4.0     5.0     5.0     5.0     5.0
> 5.0     5.0     5.0     5.0     5.0     5.0     5.0     5.0     5.0
> 6.0     6.0     6.0     6.0     6.0     6.0     6.0     6.0     6.0
> 6.0     6.0     6.0     7.0     7.0     7.0     7.0     7.0     7.0     7.0
> 7.0     7.0     7.0     3.0     3.0     3.0     3.0     3.0     3.0
> 3.0     3.0     3.0     3.0     3.0     3.0     3.0     3.0     3.0
> 3.0     3.0     3.0     3.0     3.0     3.0     3.0     3.0     3.0     3.0
> 3.0     3.0     3.0     3.0     3.0     3.0     3.0     3.0     3.0
> 3.0     3.0     3.0     3.0     3.0     3.0     3.0     3.0     3.0
> 3.0     3.0     3.0     3.0     3.0     3.0     3.0     3.0     3.0     3.0
> 3.0     3.0     3.0     3.0     3.0     3.0     3.0     3.0     3.0
> 3.0     3.0     3.0     3.0     3.0     3.0     3.0     3.0     3.0
> 3.0     3.0     3.0     3.0     3.0     3.0     3.0     3.0     3.0     3.0
> 3.0     3.0     3.0     3.0     3.0     3.0     3.0     3.0     3.0
> 3.0     3.0     3.0     3.0     3.0     3.0     3.0     3.0     3.0
> 3.0     3.0     3.0     3.0     3.0     3.0     3.0     3.0     3.0     3.0
> 3.0     3.0     3.0     3.0     3.0     3.0     3.0     3.0     3.0
> 3.0     3.0     3.0     3.0     3.0     3.0     3.0     3.0     3.0
> 3.0     3.0     3.0     3.0     3.0     3.0     3.0     3.0     3.0     3.0
> 3.0     3.0     3.0     3.0     3.0     3.0     3.0     3.0     3.0
> 3.0     3.0     3.0     3.0     3.0     3.0     3.0     3.0     3.0
> 3.0     3.0     3.0     3.0     3.0     3.0     3.0     3.0     3.0     3.0
> 3.0     3.0     3.0     3.0
>
> --
> Regards,
>
> Thushan Ganegedara
> School of IT
> University of Sydney, Australia
>



-- 

Thanks & regards,
Nirmal

Team Lead - WSO2 Machine Learner
Associate Technical Lead - Data Technologies Team, WSO2 Inc.
Mobile: +94715779733
Blog: http://nirmalfdo.blogspot.com/
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