Performance Evaluation of Machine Leaning Algorithms for Predicting Rainfall Patterns

This paper aims to scrutinize the effectiveness of three main algorithms from the machine learning, they are K-Nearest Neighbor, Support Vector Machine and Artificial Neural Network 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 about different machine learning algorithms in mobile price classification which is helpful to find optimal product.