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Feature engineering is the process of using domain knowledge of the data to create features for machine learning models. This tag is meant for both theoretical and practical questions regarding feature engineering, excluding questions asking for code, that would be off-topic on CrossValidated.
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Optimal way to creating new features from training set (in R)
My training dataset has 1500 features - all numeric. (But only about 200 data points). I want to create additional features and then use the exhaustive list for feature selection.
For creating additi …