Search Results - subject:"Classification and Regression Tree"

A predictive analytics model for forecasting outcomes in the National Football League games using decision tree and logistic regression

Gifford, Matt; Bayrak, Tuncay - In: Decision analytics journal 8 (2023), pp. 1-10

Sports analytics has gained rapid popularity in recent years and will likely continue to evolve. In this study, we construct predictive analytics models to forecast the NFL games outcomes in a season using decision trees and logistics regression. Several variables are used as predictors...

Persistent link: https://www.econbiz.de/10014517330

Increasing the robustness of uplift modeling using additional splits and diversified leaf select

Oechsle, Frank - In: Journal of marketing analytics : JMA 11 (2023) 4, pp. 738-746

Persistent link: https://www.econbiz.de/10014537399

Aggregation Trees

Di Francesco, Riccardo - 2023

Uncovering the heterogeneous effects of particular policies or "treatments” is a key concern for researchers and policymakers. A common approach is to report average treatment effects in different subgroups based on observable covariates. However, there is likely to be considerable uncertainty...

Persistent link: https://www.econbiz.de/10014263630

Generating simple classification rules to predict local surges in COVID-19 hospitalizations

Yaesoubi, Reza; You, Shiying; Xi, Qin; Menzies, Nicolas A. - In: Health care management science : a new journal serving … 26 (2023) 2, pp. 301-312

Persistent link: https://www.econbiz.de/10014315728

Assessing the predictive performance of machine learning in direct marketing response

Choi, Youngkeun; Choi, Jae W. - In: International journal of e-business research : IJEBR ; … 19 (2023) 1, pp. 1-12

Persistent link: https://www.econbiz.de/10015051116

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

A selection procedure for the design of mixed-model assembly systems considering walking workers and fixed workers

Calzavara, Martina; Faccio, Maurizio; Finco, Serena; … - In: International journal of production research 63 (2025) 3, pp. 1028-1045

Persistent link: https://www.econbiz.de/10015198529

Machine learning-based approach to identify human push recovery using GAIT analysis

Niranjani, S.; Punniyamoorthy, Murugesan; Lakshmi, Geeta - In: International journal of enterprise network management … 16 (2025) 2, pp. 147-161

Persistent link: https://www.econbiz.de/10015407136

Decision support for efficient XAI services : a morphological analysis, business model archetypes, and a decision tree

Gerlach, Jana; Hoppe, Paul; Jagels, Sarah; Licker, Luisa; … - In: Electronic markets : EM ; the international journal of … 32 (2022) 4, pp. 2139-2158

Persistent link: https://www.econbiz.de/10013556706

Machine Learning in Banking - Tips & Tricks : Session 3 - Classification with Logistic Regression, Decision Trees and Neural Networks

Benhamou, Eric - 2022

These slides are part of the Data & Ai reskilling seminar in Banking hosted by Dauphine and Ecoles des Mines PSL. They provide tips & tricks for classification using logistic regression, decision trees and neural networks

Persistent link: https://www.econbiz.de/10014241827