DNN2LR: Interpretation-inspired Feature Crossing for Real-world Tabular Data

Zhaocheng Liu, Qiang Liu, Haoli Zhang +1

For sake of reliability, it is necessary for models in real-world applications to be both powerful and globally interpretable. Simple classifiers, e.g., Logistic Regression (LR), a…