Viet-Anh on Software Logo

What is: DNN2LR?

SourceDNN2LR: Interpretation-inspired Feature Crossing for Real-world Tabular Data
Year2000
Data SourceCC BY-SA - https://paperswithcode.com

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.