I am fairly new to Weka and even more new to Weka on the command line. I find documentation is poor and I am struggling to figure out a few things to do. For example, want
A better way to do all that you want to use the GUI Explorer. Here is how to do all that you want:
1) Take two separate files for training and testing.
Use 'Open File' under the Preprocess tab to choose your training file. Use 'Supplied Test Set' radio under the Classify tab to choose your test file.
2) Output the predictions for the missing labels.
Use 'More Options' and choose 'Output Predictions' under the Classify tab to see predictions.
3) Use more than one filters
Use 'Filter' under the Preprocess tab to apply as many filters as you want before classifying.
4) Make class the last attribute
This is actually unnecessary. You can choose any attribute to be your class. A class is any attribute that you want the classifier to predict. Use the Nom(Class) dropdown on the Classify tab to choose which attribute is your class.