DNN2LR
DNN2LR
**DNN2LR** is an automatic feature crossing method to find feature interactions in a deep neural network, and use them as cross features in logistic regression. In general, DNN2LR consists of two steps: (1) generating a compact and accurate candidate set of cross feature fields; (2) searching in the candidate set for the final cross feature fields.
DNN2LR: Interpretation-inspired Feature Crossing for Real-world Tabular Data
https://paperswithcode.com/paper/dnn2lr-interpretation-inspired-feature
DNN2LR: Interpretation-inspired Feature Crossing for Real-world Tabular Data