aspg-21-2517-1791468710 20261008141150 American Scientific Publishing Group admin@americaspg.com American Scientific Publishing Group International Journal of Neutrosophic Science IJNS 2692-6148 2690-6805 2024 23 3 Firuz Kamalov Department of Electrical Engineering, Canadian University Dubai, Dubai, UAE Said Elnaffar School of Engineering, Applied Science and Technology, Canadian University Dubai, Dubai, UAE Ikhlaas Gurrib Faculty of Management, Canadian University Dubai, Dubai, UAE Aswani Cherukuri School of Information Systems, Vellore Institute of Technology, India Regression analysis is a widely used tool in several fields. In this paper, we propose a comprehensive, multistep regression model for financial forecasting. The proposed hybrid model combines preprocessing, feature selection, and cross-validation to obtain a powerful approach to forecasting. The extension of the proposed model to neutrosophic sets is discussed. The model is applied to the case study of real estate prices. The results demonstrate the efficacy of the model. 2024 245 261 2517 https://creativecommons.org/licenses/by/4.0/ 10.54216/IJNS.230321 https://www.americaspg.com/journal/21/article/2517 https://www.americaspg.com/storage/21708643331.pdf