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Script to select the n best features for modeling a dataset using a recursive algorithm. It starts with all the features and, on each iteration, it creates a model and removes the least important feature from the dataset.
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Find the best features for modeling using a greedy algorithm. Extends the best-first feature selection script that only worked with models and used split-evaluation