Search Results - subject:"Random forest"

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

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/10015508441

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

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

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

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

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

Machine‐learning based transport mode prediction in a smartphone‐based travel and mobility survey

Boer, Quinty; Gootzen, Yvonne; Klingwort, Jonas; … - 2026

Persistent link: https://www.econbiz.de/10015589430

Early detection of ESG policy violations using machine learning techniques

Parate, Gautami; Choudhary, Arpita - 2026

Persistent link: https://www.econbiz.de/10015607334

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

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

Intelligence artificielle et prévision à moyen terme de l’inflation dans la CEMAC

Mvondo, Thierry - 2026

Persistent link: https://www.econbiz.de/10015625817

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/10015634209