Research Paper- A Comparative Performance Analysis of Classical Regression Models and Deep Learning Techniques for Predictive Analytics

Rachna Rana; Manpreet Kaur; Anupreet Kaur; Amanpreet Singh

doi:10.36948/ijfmr.2026.v08i01.67265

Research Paper- A Comparative Performance Analysis of Classical Regression Models and Deep Learning Techniques for Predictive Analytics

Author(s)	Dr. Rachna Rana, Er. Manpreet Kaur, Ms. Anupreet Kaur, Er. Amanpreet Singh
Country	India
Abstract	Predictive analytics plays a crucial role in data-driven decision-making across diverse domains such as healthcare, finance, engineering, and social sciences. Traditionally, classical regression models rooted in probability and statistics—such as linear and multiple regression—have been widely used due to their mathematical simplicity, interpretability, and well-defined assumptions. In recent years, deep learning techniques have emerged as powerful alternatives, capable of modeling complex nonlinear relationships and handling large-scale datasets with high predictive accuracy. This study presents a comparative performance analysis of classical regression models and deep learning techniques for predictive analytics. The comparison is conducted using identical datasets and evaluation metrics to ensure fairness and reliability. Performance is evaluated in terms of prediction accuracy, error metrics, computational efficiency, and interpretability. Experimental results demonstrate that while deep learning models often achieve superior predictive accuracy, classical regression models remain competitive for small to medium-sized datasets and offer significant advantages in terms of transparency and explain-ability. The findings highlight that model selection should depend on data characteristics, problem complexity, and interpretability requirements rather than accuracy alone. This comparative study provides practical insights for researchers and practitioners in selecting appropriate predictive models by balancing mathematical rigor, computational cost, and predictive performance.
Keywords	Regression models, Deep learning, Predictive analytics, Statistical modeling, Machine learning, Performance comparison
Field	Mathematics > Logic
Published In	Volume 8, Issue 1, January-February 2026
Published On	2026-01-23
DOI	https://doi.org/10.36948/ijfmr.2026.v08i01.67265

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Research Paper- A Comparative Performance Analysis of Classical Regression Models and Deep Learning Techniques for Predictive Analytics

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