Hi, there are different approaches available. You could either use on of the weighting schemes for estimating the importance of an attribute (as we call variables in RapidMiner). This will use a heuristic of some kind. The other option is to optimize the feature set for a specific learning algorithm. There are several operators available doing it, for example the backward elimination or the Optimize Selection operators.
This process is a very simple example how to compute weights for attributes.
Answers
there are different approaches available. You could either use on of the weighting schemes for estimating the importance of an attribute (as we call variables in RapidMiner). This will use a heuristic of some kind. The other option is to optimize the feature set for a specific learning algorithm. There are several operators available doing it, for example the backward elimination or the Optimize Selection operators.
This process is a very simple example how to compute weights for attributes.
Greetings,
Sebastian