Abstract:Abstract-In an attempt to build a good predictor of the performance of survey interviewers, we propose a feature selection method that derives the features' strength (i.e., degree of usefulness) from various feature subsets drawn from a pool of all the features. The method also builds a predictor by using support vector regression (SVR) as the learning machine and the selected features as variables. Applying the method to a collection of 278 instances obtained from 67 interviewers participating in eight survey… Show more
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