How to build classification model from the data set?

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Build classification model from the data set

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To build a classification model from a dataset with Weka on a Mac, you can use the Explorer interface. First, open the dataset by going to File > Open and selecting the appropriate file. Then, go to the Classify tab and select the desired classifier (e.g. J48 for decision trees). Click on the Start button and Weka will build the classification model using the dataset. Once the model is built, you can use it to classify new instances.

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To go further, you right click on the "results list....” for viewing the many options available for the output.

One thing I have not been able to get is the results of predictions saved in a cvs or excel file.
Can someone help with this?

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