A hybrid pipeline of Lasso feature selection followed by CatBoost achieves competitive travel-insurance purchase prediction (AUC 0.861) with fewer features, though lower than pure ensemble models.
Tendências na indústria de seguros 2023,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
stat.AP 1years
2025 1verdicts
REJECT 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
Non-Heuristic Selection via Hybrid Regularized and Machine Learning Models for Insurance
A hybrid pipeline of Lasso feature selection followed by CatBoost achieves competitive travel-insurance purchase prediction (AUC 0.861) with fewer features, though lower than pure ensemble models.