Search Results - subject:"Random Forest"

Verbesserung der Data-Matching-Qualität mit optimierter String-Distanz-Metrik-Auswahl und Random Forest

Nölting, Christopher; Hajiyev, Murad - In: Wirtschaft und Statistik : WISTA (2025) 5, pp. 69-81

Random-Forest-Modell kombiniert. Durch Datenbereinigung, Balanced Sampling und Negativmatches entsteht ein robuster Workflow … random forest model. Data cleaning, balanced sampling, and negative matches create a robust workflow for record linkage. The …

Persistent link: https://www.econbiz.de/10015481411

Exploring the potential of machine learning to reduce administrative burden in participatory budgeting : a case study of Seoul

Shin, Bokyong - In: Journal of public budgeting, accounting & financial … 38 (2026) 1, pp. 237-264

Persistent link: https://www.econbiz.de/10015615043

Legal dimensions of global AML risk assessment : a machine learning approach

Kovalchuk, Olha; Shevchuk, Ruslan; Banakh, Serhiy; … - In: Risks : open access journal 14 (2026) 1, pp. 1-27

analysis of 132 jurisdictions in 2024 using the Basel AML Index (AMLI) and the WJP Rule of Law Index (RLI). The Random Forest …

Persistent link: https://www.econbiz.de/10015611262

Verbesserung der Data-Matching-Qualität mit optimierter String-Distanz-Metrik-Auswahl und Random Forest

Nölting, Christopher; Hajiyev, Murad - In: WISTA - Wirtschaft und Statistik 77 (2025) 5, pp. 69-81

Persistent link: https://www.econbiz.de/10015508441

Predicting buildings' EPC in Italy : a machine learning based-approach

Braggiotti, Francesco; Chiarini, Nicola; Dondi, Giulio; … - 2024

Persistent link: https://www.econbiz.de/10014634359

Design and evaluation of machine learning-based investment strategies in equity funds

Cassiano da Silva, Danillo Guimarães; Romão, Estaner Claro - In: International Journal of Financial Studies : open … 14 (2026) 1, pp. 1-22

This study examines quantitative investment strategies for Brazilian equity funds, integrating traditional financial performance indicators with machine learning techniques to enhance fund selection. The main objective was to construct and validate predictive models for fund selection. The...

Persistent link: https://www.econbiz.de/10015591391

Assessing wage inequality with machine learning : approaches for measuring the adjusted gender pay gap

Plüghan, Oliver; Rehfeld, Katharina-Maria - 2026

This paper investigates the methodological performance of Ordinary Least Squares (OLS) regression and Random Forest … discrimination at large sample sizes. However, at smaller sample sizes, Random Forest exhibits substantial instability whereas OLS … remains slightly more stable. A methodological adjustment, training Random Forest on the larger population before applying …

Persistent link: https://www.econbiz.de/10015632053

ESG disclosure quality and banking risk : a dynamic panel analysis of Middle East and African banks

Ahmed, Ibrahim El Siddig - In: Risks : open access journal 14 (2026) 3, pp. 1-21

random forest method (machine learning) with dynamic panel analysis (econometrics), bringing innovation and contribution to …

Persistent link: https://www.econbiz.de/10015638960

Assessing wage inequality with machine learning: Approaches for measuring the adjusted gender pay gap

Plüghan, Oliver; Rehfeld, Katharina-Maria - 2026

Persistent link: https://www.econbiz.de/10015634209

Optimizing inventory in convenience stores to maximize ROI using random forest and genetic algorithms

Zavaleta-Zarate, Kelly; Escobal-Vera, Jesus; … - In: Logistics 10 (2026) 3, pp. 1-27

temporal and lag features, and trains a Random Forest (RF) model using chronological splitting and time-series validation …

Persistent link: https://www.econbiz.de/10015647577