Comparative Analysis of Traditional Machine Learning and Deep Learning Models for Predictive Analytics

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Published: Jan 14, 2025

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Prof. Ram Singh

Abstract

Machine learning has evolved significantly, with traditional algorithms such as decision trees and support vector machines competing with deep learning models for predictive accuracy. This paper presents a comparative analysis of traditional ML models and deep neural networks across multiple domains, including healthcare, finance, and image processing. We evaluate performance metrics such as accuracy, precision, recall, and computational efficiency. The results highlight the strengths and weaknesses of each approach, providing insights into selecting the optimal model based on data complexity and application requirements.

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How to Cite
Singh, P. R. (2025). Comparative Analysis of Traditional Machine Learning and Deep Learning Models for Predictive Analytics. American Journal of AI & Innovation, 7(7). Retrieved from https://journals.theusinsight.com/index.php/AJAI/article/view/65
Issue
Vol. 7 No. 7 (2025): AJAI
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Articles

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Chinta, P. C. R., & Karaka, L. M. AGENTIC