Yes, it is possible to save classification prediction output as a separate file in Weka. After running a classification algorithm, go to the "Result list" tab, right-click on the desired result, and select "Save result buffer" to save it as a separate file in various formats such as ARFF, CSV, Excel, etc.
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.
Yes, it is possible to save classification prediction output as a separate file in Weka. After running a classification algorithm, go to the "Result list" tab, right-click on the desired result, and select "Save result buffer" to save it as a separate file in various formats such as ARFF, CSV, Excel, etc.
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.