Comparative Evaluation of Machine Learning Models for Mobile Phone Price Prediction: Assessing Accuracy, Robustness, and Generalization Performance

Comparative Evaluation of Machine Learning Models for Mobile Phone Price Prediction: Assessing Accuracy, Robustness, and Generalization Performance

These days, mobile phones are the most commonly purchased goods. Thousands of new models with improved features, designs, and specifications are released yearly. An autonomous mobile price prediction system is required to assist customers in determining whether or not they can afford these devices....

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Bibliographic Details
Main Authors: Saima Anwar Lashari, Muhammad Muntazir Khan, Abdullah Khan, Sana Salahuddin, Muhammad Noman Ata
Format: Article
Language:English
Published: MMU Press 2024-10-01
Series:Journal of Informatics and Web Engineering
Subjects:
logistic regression
random forest
k-nearest neighbor
support vector machine
extreme gradient boosting
decision tree
naïve bayes
linear discriminant analysis
adaboost
light gradient boosting
Online Access:https://journals.mmupress.com/index.php/jiwe/article/view/1148
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