Dear Sir, 
Thanks for your quick reply. Now how can I do that in WEKA. 


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.

Good luck.

Regards,
Martin     


On 19 September 2016 at 18:47, Martin <martinlion80@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.

Regards, 
Martin


View this message in context: Re: two data sets
Sent from the WEKA mailing list archive at Nabble.com.

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