There are many disorders of the liver that require clinical care by a physician or other healthcare professional. The study of liver development has significantly contributed to developmental concepts about morphogenesis and differentiation of other organs. Knowledge of the the understanding of human congenital diseases. Significantly, much of understanding of organ development has arisen from analyses of patients with liver deficiencies. In this paper the data classification is based on liver disorder the training data set is developed by collecting data from UCI repository consists of 345 instances with 7 different attributes. The instances in the dataset are pertaining to the two categories of blood tests which are thought to be sensitive to liver disorders that might arise from excessive alcohol consumpt mechanisms that regulate hepatic epithelial cell differentiation has been essential in creating efficient cell culture protocols for programmed differentiation of stem cells to hepatocytes as well as developing cell transplantation therapies. Such knowledge also provides a basis for ion, labeled as Low (L), and (H) to represent the profit as 0 and 1 which result in accuracy and time taken to build the algorithm. WEAK tool is used to classify the data and the data is evaluated using 10-fold cross validation and the results are compared.