Training and testing partitions

[Hossam]

Hi All,

I have noticed that when I start a new symbolic regression problem,
the data is divided by default 0 to 12 for training and 12 to 25 for
testing which means there are 26 rows. but when I view the Dataset I
can see only 25 rows. Its the same when I load my own Dataset. Should
I modify the starting index to 1 instead of 0. In the default case, is
the row 12 included in both training and testing ?
Please may you explain the indexing of the Dataset ?

[Gabriel Kronberger]

Dear Hossam,

in HeuristicLab we use the convention that the start index of a range is
inclusive and the end index is exclusive.
The training partition contains rows [0..12[ and the test partition contains
rows [12..25[. This represents a 50/50 split of the available rows which is
also used as a default when loading new data into a symbolic regression
problem. However, you can change the start and end indexes as you wish.

Best,
Gabriel