I just want to ask if there any possibilities to do analytics on masking data using the WEKA tool. In this case, not all data fields will be masking. Only a few of them.
Thank you in advance!
Can we do analytics on masking data using WEKA tool?
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If you mean by masking whether an attribute should be used by an algorithm for learning, then the answer is yes (in a sense).
However, rather than flagging attributes whether to be included or not, in Weka you'd simply remove them.
For example, for classification you would use the FilteredClassifier meta-classifier in conjunction with the actual base classifier that you want to use and the Remove filter.
If you need additional filters to applied (e.g., Normalize), then simply define a filter pipeline using MultiFilter as the filter in your FilteredClassifier setup. With that approach you can work with your original data and the base classifier only sees the data your filter pipeline outputs.