Diagnosis of Liver Disorders using Machine Learning Classifier Like Tree, Meta, Rule, and Lazy

  • Manish Tiwari, Arvind Mewada, Nagendra Singh
Keywords: K-star, PART, Random forest, Random Committee, CNN

Abstract

:- Artificial Intelligence is mainly used nowadays to research the medical field data for further accuracy enhancement. Artificial Intelligence's one field, Machine learning techniques recently classification techniques have been widely used for accurate classification. The classification is performed on algorithms Rules, Tree, Meta, and Lazy. Weka tool used for performance analysis done of the algorithms that gave good results was selected as the model building, some algorithm gave the good performance like PART, Random Forest, Random Committee, and K-star.

Published
2021-10-28
How to Cite
Nagendra Singh, M. T. A. M. (2021). Diagnosis of Liver Disorders using Machine Learning Classifier Like Tree, Meta, Rule, and Lazy. Design Engineering, 8133-8150. Retrieved from http://www.thedesignengineering.com/index.php/DE/article/view/5848
Section
Articles