Mobile Price Tagger: A Machine Learning-driven Neural Network for Mobile Phone Price Classification

This paper aims to scrutinize the effectiveness of three main algorithms from machine learning, and they are K-Nearest Neighbor (KNN), Support Vector Machine (SVM), and Artificial Neural Network (ANN) for classifying mobile phones into different price categories using various key features which includes internal memory, front camera, battery power, and clock speed, etc. After these three algorithms were trained and evaluated using accuracy and precision, this research provides valuable insights into different machine learning algorithms in mobile price classification, which is helpful in finding optimal products (with minimum cost and maximum features).