Search Results - subject:"Gradient boosting decision tree"

Predicting mortgage loan defaults using machine learning techniques

Krasovytskyi, Danylo; Stavytskyy, Andriy - In: Mokslo darbai / Vilniaus Universitetas 103 (2024) 2, pp. 140-160

Mortgage default prediction is always on the table for financial institutions. Banks are interested in provision planning, while regulators monitor systemic risk, which this sector may possess. This research is focused on predicting defaults on a one-year horizon using data from the Ukrainian...

Persistent link: https://www.econbiz.de/10015047688

Deep learning meets decision trees : an application of a heterogeneous deep forest approach in credit scoring for online consumer lending

Xia, Yufei; Guo, Xinyi; Li, Yinguo; He, Lingyun; Chen, … - In: Journal of forecasting 41 (2022) 8, pp. 1669-1690

Persistent link: https://www.econbiz.de/10013465738

Exploring the nonlinear impact of air pollution on housing prices : a machine learning approach

Zou, Guojian; Lai, Ziliang; Li, Ye; Liu, Xinghua; Li, … - In: Economics of transportation : the official journal of … 31 (2022), pp. 1-13

Persistent link: https://www.econbiz.de/10013482705

Hybrid machine learning approach for popularity prediction of newly released contents of online video streaming services

Jeon, Hongjun; Seo, Wonchul; Park, Eunjeong; Choi, Sungchul - In: Technological forecasting & social change : an … 161 (2020), pp. 1-7

Persistent link: https://www.econbiz.de/10012533685

Fundamental factor models using machine learning

Sugitomo, Seisuke; Minami, Shotaro - In: Journal of mathematical finance 8 (2018) 1, pp. 111-118

Persistent link: https://www.econbiz.de/10011846158