Search Results - subject:"binary classification"

From uncertainty to precision: enhancing binary classifier performance through calibration

Machado, Agathe Fernandes; Charpentier, Arthur; … - 2024

Persistent link: https://www.econbiz.de/10014482840

Machine learning and data balancing methods for bankruptcy prediction

Liashenko, Olena; Kravets, Tetyana; Kostovetskyi, Yevhenii - In: Mokslo darbai / Vilniaus Universitetas 102 (2023) 2, pp. 28-46

The paper examines the use of various machine learning algorithms for the task of forecasting the company’s bankruptcy based on financial indicators. Different approaches to the formation of the data set on which the models are trained are compared, in particular, data balancing methods. Nine...

Persistent link: https://www.econbiz.de/10014428868

Determinantes del uso de plaguicidas entre los productores del sector agrícola de Bolivia : una aplicación de modelos de respuesta binaria

Bolaños Gamarra, Jorge Eduardo - In: Revista latinoamericana de desarrollo económico 39 (2023), pp. 109-147

Persistent link: https://www.econbiz.de/10014458656

RPA : learning interpretable input-output relationships by counting samples

Vos, Wout de; Balvert, Marleen - 2023

Persistent link: https://www.econbiz.de/10014307519

Using decision trees to predict insolvency in Spanish SMEs : is early warning possible?

Navarro Galera, Andrés; Lara-Rubio, Juan; … - In: Computational economics 65 (2025) 1, pp. 91-116

Persistent link: https://www.econbiz.de/10015195758

Column generation-based prototype learning for optimizing area under the receiver operating characteristic curve

Ozcan, Erhan C.; Görgülü, Berk; Baydogan, Mustafa G. - In: European journal of operational research : EJOR 314 (2024) 1, pp. 297-307

Persistent link: https://www.econbiz.de/10014456858

A novel twin-support vector machine for binary classification to imbalanced data

Li, Jingyi; Chao, Shiwei - In: Data Technologies and Applications 57 (2023) 3, pp. 385-396

Purpose Binary classification on imbalanced data is a challenge; due to the imbalance of the classes, the minority … twin-support vector machines for binary classification on imbalanced data. Design/methodology/approach In the proposed … novel twin-support vector machine is proposed for binary classification on imbalanced data, and new kernels are derived. (2 …

Persistent link: https://www.econbiz.de/10014712736

A random forest-based approach to combining and ranking seasonality tests

Ollech, Daniel; Webel, Karsten - In: Journal of econometric methods 12 (2023) 1, pp. 117-130

Persistent link: https://www.econbiz.de/10013554738

Threshold moving approach with logit models for bankruptcy prediction

Staňková, Michaela - In: Computational economics 61 (2023) 3, pp. 1251-1272

Persistent link: https://www.econbiz.de/10014252178

Binary and multi-class classification of Android applications using static features

Dhalaria, Meghna; Gandotra, Ekta - In: International journal of applied management science : IJAMS 15 (2023) 2, pp. 117-140

Persistent link: https://www.econbiz.de/10014306715