Significados de recursive feature em inglês

Feature subset selection is performed using support vector machines with recursive feature elimination.

We used recursive feature elimination to extract relevant features, which were subsequently used to train a linear classifier.

Supervised algorithms, especially the support vector machine- recursive feature elimination (SVM-RFE) method, always have good performance in gene selection.

Recursive feature elimination was used to identify the most predictive genes.

Recursive feature elimination using random forest (RFE-RF) was used to identify the best combination of features to distinguish AAH from controls.