Application of Supervised Learning Algorithms in Data Prediction

Abstract

With the advancement of artificial intelligence, such as Chat-Gpt and some generators, the development of all of these devices is based on Machine learning. Machine learning is one of the most popular keywords in the 21st century. One important category in machine learning is supervised learning which is the topic of this paper. Data prediction and people’s decisions are dominant in life, relying on algorithms, a supervised learning tool. So, which algorithms should people use under supervised learning to create models and predict data? The following paper will demonstrate the details of supervised learning and building models by using different algorithms to evaluate the quality of algorithms. The findings indicate that each algorithm has distinct advantages and limitations depending on data characteristics and context.