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In the forward selection procedure described, the features are partitioned into selected vs. candidate sets. At the start, the selected set is empty, and all $p$ features are candidates. At each stage, each candidate feature is provisionally added as a(n additional) trial feature, and the best one is chosen to be kept. So 1 new feature is removed from the ...

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