Data mining is the extraction of hidden predictive information from large database. Classification is the process of finding a model that describes and distinguishes data classes or concept. This paper performs the study of prediction of class label using C4.5 and Naive Bayesian (NB) algorithm.C4.5 generates classifiers expressed as decision trees from a fixed set of examples. The resulting tree is used to classify future samples. The leaf nodes of the decision tree contain the class name whereas a non-leaf node is a decision node.