[Please don't post images, they disappear in plain text emails]
> Thank you sir! And I want to ask about data splitting. There's a missing argument in save_file about loading variable that wants to be saved into csv file. I have some questions:
>
>
> - What argument should I put in save_file?
The "result" parameter always expects a string pointing to an ARFF
file. If you want to have a CSV file, you need to convert that after
the experiment finished.
> - What are differences between classification = False and classification = True (from experiments section) ?
It depends whether your class attribute is numeric (= regression
problem, classification=False) or nominal (= classification problem,
classification=True).
> - What's the function of preserve_order and should it always be used?
If "true" no randomization of the data is performed before splitting
it. It depends on your dataset: if you have ordered data, you will
most likely want to have randomization turned on. In some cases,
people have dedicated train/test sets and by not randomizing the data
and finding the correct split percentage, they can act they still have
these two datasets, despite only providing the combined dataset.