Explainable Regression Modelling for Smartphone Price Prediction Using  Feature-Driven Analysis.

Komati Sathish

Explainable Regression Modelling for Smartphone Price Prediction Using Feature-Driven Analysis.

Authors

Komati Sathish

Keywords:

Smartphone Price Prediction, Regression Modelling, Support Vector Regressor, Linear Regression, Feature Analysis

Abstract

The research investigates the relationship between mobile phone specifications and their pricecategories by applying machine learning–based regression techniques. In today’s rapidly evolvingtechnological landscape, smartphones combine diverse hardware and software features, making theirpricing dependent on multiple factors such as processor capability, memory capacity, camera quality, battery performance, and brand influence.

References

. M. Alloghani, D. Al-Jumeily, J. Mustafina, A. Hussain and A. J. Aljaaf, "A System-atic Review on Supervised and Unsupervised Machine Learning Algorithms for Data Science," in Supervised and Unsupervised Learning for Data Science, Springer, Cham, 2020.

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Published

2024-09-25

How to Cite

Komati Sathish. (2024). Explainable Regression Modelling for Smartphone Price Prediction Using Feature-Driven Analysis . Journal of Computational Analysis and Applications (JoCAAA), 33(08), 7802–7810. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/4924