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In this video, we explain the step-forward feature selection algorithm using a practical example. Step forward feature selection is a greedy algorithm that evaluates feature subsets by adding a feature at a time and measuring the change in performance of the machine learning model. It is greedy, because it tests all possible additions of a ...
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