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What they describe is actually (very) shallow feature engineering and these methods have been used for decades. These techniques can hardly help in really diffi
by asavinov 10y ago
What they describe is actually (very) shallow feature engineering and these methods have been used for decades. These techniques can hardly help in really difficult data analysis tasks where abstract features need to be either manually defined or automatically mined.
- shas3 10y agoYeah! And they use "feature engineering" where "feature selection" would suffice. The hard part of feature engineering is usually not selection, but creatively generating features based on expert knowledge, etc. Also, something like a wrapper would be an overkill if you had roughly, #data/class > #features and used a relatively overfitting-resistant classifier like SVM, regularized regression, etc. (more rigorous statement of this would involve VC-dimension).