Search Results - subject:"tree-based models"

A supervised machine learning in financial forecasting : identifying effective models for the BIST100 index

Ergenç, Cansu; Aktaș, Rafet - In: Národohospodářský obzor : časopis věnovaný … 25 (2025) 1, pp. 66-90

learning techniques offer robust predictive capabilities. This research evaluates a range of supervised models, including Tree-Based … Models (Decision Trees, Bagging, Random Forests, Adaboost, Gradient Boosting Machine (GBM), Light-GBM, XGBoost, CatBoost …

Persistent link: https://www.econbiz.de/10015461369

Learning from experts : energy efficiency in residential buildings

Billio, Monica; Casarin, Roberto; Costola, Michele; … - In: Energy economics 136 (2024), pp. 1-15

Persistent link: https://www.econbiz.de/10015046648

Learning from experts : energy efficiency in residential buildings

Billio, Monica; Casarin, Roberto; Costola, Michele; … - 2023

Measuring and reducing energy consumption constitutes a crucial concern in public policies aimed at mitigating global warming. The real estate sector faces the challenge of enhancing building efficiency, where insights from experts play a pivotal role in the evaluation process. This research...

Persistent link: https://www.econbiz.de/10014380597

Optimizing pension participation in Kenya through predictive modeling : a comparative analysis of tree-based machine learning algorithms and logistic regression classifier

Yego, Nelson Kemboi; Kasozi, Juma; Nkurunziza, Joseph - In: Risks : open access journal 11 (2023) 4, pp. 1-21

results indicated that ensemble tree-based models, particularly the random forest model, were the most effective in predicting …

Persistent link: https://www.econbiz.de/10014303858

Learning from experts: Energy efficiency in residential buildings

Billio, Monica; Casarin, Roberto; Costola, Michele; … - 2023

Persistent link: https://www.econbiz.de/10014377635

Predicting the length of stay in hospital emergency rooms in Rhode Island

Lamere, Alicia T.; Nguyen, Son; Niu, Gao; Olinsky, Alan; … - In: Advances in business and management forecasting 14 (2021), pp. 35-48

Predicting a patient's length of stay (LOS) in a hospital setting has been widely researched. Accurately predicting an individual's LOS can have a significant impact on a healthcare provider's ability to care for individuals by allowing them to properly prepare and manage resources. A hospital's...

Persistent link: https://www.econbiz.de/10014291661