STUDY OF MACHINE LEARNING ALGORITHMS FOR PREDICTING CAR PURCHASE BASED ON CUSTOMER DEMANDS

Authors: M.Jayanth, H.Satish, N.Chaitanya, S.Srivani, S.Ishwaraya

Abstract: – This study explores the application of various machine learning algorithms to predict car purchases based on customer demands and preferences. With the growing volume of customer data in the automotive sector, predictive modeling has become a valuable tool for understanding consumer behavior. In this paper, we analyze and compare algorithms such as Decision Trees, Random Forest, and Support Vector Machines using a real-world dataset. The models are evaluated based on accuracy, precision, and recall to identify the most effective approach. The results demonstrate that machine learning can significantly enhance the ability to forecast purchase decisions, offering valuable insights for car manufacturers and dealerships.

DOI: http://doi.org/