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Machine learning and. In machine learning and statistics, feature selection, also known as variable selection, attribute selection or variable subset selection, is the process of selecting a subset of relevant features (variables, predictors) for use in model construction. Feature selection techniques are used for three reasons:
Selection is restricted to the current page or spread only. If you think about it, this makes sense because it would be exceptionally rare that one would need to select elements on more than one page. At least select them for use in any useful manner. Without knowing exactly what it is you are trying to do there may be a few things you can use: 1  Create an action and run the action on every page rather than trying to do it all at once. 2  It's quite possible that whatever you need to do is a simple set up for an action.