Abstract
Over the last decade, machine learning has seen widespread application in several domains. Automobile or transportation industry has leveraged different predictive analytics techniques to cater customer requirements, user satisfaction, manufacturer profit analysis etc. In this paper, KNN algorithm is applied on a standard dataset which has been taken from UCI machine learning repository. The automobile dataset contains information regarding car mileage, engine, weight, price etc. As kNN classifier was applied on this benchmark dataset, accuracy was determined from confusion matrix to gain valuable insights.
Recommended Citation
Ghosh, Krishnendu and Mukherjee, Rajendrani
(2024)
"Application of Machine Learning Classifier in Automobile Domain,"
American Journal of Electronics & Communication (AJEC): Vol. 3:
Iss.
3, Article 1.
Available at:
https://research.smartsociety.org/ajec/vol3/iss3/1