2 papers
cs.LG2021
DNN2LR: Automatic Feature Crossing for Credit Scoring
Qiang Liu, Zhaocheng Liu, Haoli Zhang +2
Credit scoring is a major application of machine learning for financial institutions to decide whether to approve or reject a credit loan. For sake of reliability, it is necessary…
cs.LG2020
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…