Powerful Feature Selection with Recursive Feature Elimination (RFE) of Sklearn
Get the same model performance even after dropping 93 features
Published in
5 min readMay 11, 2021
The basic feature selection methods are mostly about individual properties of features and how they interact with each other. Variance thresholding and pairwise feature selection are a few examples that remove unnecessary…
