Gradient boosting decision tree (GBDT) for firm failure prediction is proposed. Sensitivity analysis and model interpretability of GBDT are analyzed and validated. GDBT, bagging, Adaboost, Random ...

Five popular machine learning models were considered in this study: a logistic regression with elastic net regularization (LRENR), 19 a random forest classifier (RF), 20 a gradient tree boosting ...

We then compare the performances of seven supervised models, i.e., naive Bayes, logistic, linear discriminant analysis (LDA) and quadratic discriminant analysis (QDA), as well as tree-based methods ...

Heqing Tan, Chun-bin Yu, Muqing Du, A multiple-path gradient projection method for solving the logit-based stochastic user equilibrium model, Journal of Transport and Land Use, Vol. 13, No. 1 (2020), ...