Abstract:
After the incorporation of machine learning algorithms and regression techniques, this research exhibits the comparison between their individual accuracies. It uses regre...Show MoreMetadata
Abstract:
After the incorporation of machine learning algorithms and regression techniques, this research exhibits the comparison between their individual accuracies. It uses regression models with 80 percent training and 20 percent testing allocation correspondingly with a random state of 10. Various models such as linear regression, lasso regression, ridge regression, polynomial regression, k-nearest neighbour and support vector machine (SVM-Linear) are used for comparison of their accuracies. The obtained dataset contains a variety of parameters which are considered for the comparison and thereby reviewed.
Published in: 2021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)
Date of Conference: 17-18 December 2021
Date Added to IEEE Xplore: 09 March 2022
ISBN Information: