International Journal of Neutrosophic Science IJNS 2690-6805 2692-6148 10.54216/IJNS https://www.americaspg.com/journals/show/2517 2020 2020 Department of Electrical Engineering, Canadian University Dubai, Dubai, UAE Firuz Firuz School of Engineering, Applied Science and Technology, Canadian University Dubai, Dubai, UAE Said Elnaffar Faculty of Management, Canadian University Dubai, Dubai, UAE Ikhlaas Gurrib School of Information Systems, Vellore Institute of Technology, India Aswani Cherukuri 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 2024 245 261 10.54216/IJNS.230321 https://www.americaspg.com/articleinfo/21/show/2517