Thanks for your quick reply. Now how can I do that in
Well, for the sake of simplicity, save your data in a CSV file where you
need to arrange the attributes in columns (remember to place the attribute
that you need to predict (class) at the very end of this file). Do this for
training and test set (in case you have an external test set file), and
make sure that both files have same attributes' order, name, and type. Next
stage, load your training set into WEKA's Explorer using the "Preprocess"
panel, then switch to the "Classify" panel and load the test set file
through the option "Supplied test set". Once you did that, choose the
algorithm you need to use and hit the "Start" button.
On 19 September 2016 at 18:47, Martin <martinlion80(a)gmail.com> wrote:
If your aim is performing classification/regression
techniques by building
a prediction model from training data and then apply this model on the test
data, then yes, you can do that. But the design structure of both data
should be compatible in terms of attributes' name, order and type.
Please let us know if you still have further issues.
View this message in context: Re: two data sets
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