Design Engineering ISSN: 0011-9342 | Year 2021 Issue: 8 | Pages: 8133-8150 [8133] Diagnosis of Liver Disorders using Machine Learning Classifier Like Tree, Meta, Rule, and Lazy Manish Tiwari 1 , Arvind Mewada* 2 , Nagendra Singh 3 1,2 Computer Science and Engineering Department, 1 Sree Chaitanya College of Engineering, Karimnagar, Telangana, India 2 Motilal National Institute of Technology Allahabad, Prayagraj, India 3 Department of Electrical Engineering 3 Trinity College of Engineering and Technology, Karimnagar, Telangana, India 1immanishtiwari@gmail.com 2 arvindmewada@mnnit.ac.in 3 nsingh007@gmail.com Corresponding Author:- *Arvind Mewada 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. Keywords:- K-star, PART, Random forest, Random Committee, CNN I. INTRODUCTION Prolonged Liver diseases cause harm liver and a massive quantity of death in the global world. Some diseases (e.g., obesity, hepatitis infection) become chronic; in this situation, the liver may fail, vomiting blood jaundice, and it may lead to cancer also. Diagnosis of liver disease is very difficult and involves many costs. Prediction of chronic liver disease through Machine Learning algorithms reduce cost and help in the diagnosis of the disease. The human body contains many organs, but the liver is the largest used to digest food and discharge toxic material from the body. Aflatoxin, smoking, and alcohol damage the liver and many diseases like hepatitis, cirrhosis, liver tumour, and liver cancer. But among them, liver cancer and cirrhosis lead to death. From a global perceptive, the status of cancer and liver cancer through the chart can be understood properly. Primary liver cancer begins from the liver, and secondary liver cancer starts from other parts of the body infects the liver also. The common name of the malignant tumour is called cancer. 9.6 million death due to cancer in 2018. Some cancer is common in men and women: